\documentclass[9pt,twoside]{article} \makeatletter\if@twocolumn\PassOptionsToPackage{switch}{lineno}\else\fi\makeatother %Publisher:Society for Upliftment of Rural Economy (SURE) %Template Provided By: Typeset \def\cmIssue{3} \def\cmVolume{8} \def\cmMonth{September} \def\cmYear{2021} \def\cmdoi{{\urlstyle{same}\url{https://doi.org/10.21921/jas.v8i03.1669}}} \def\articleCitetitle{Yield Loss Assessment due to Alternaria Blight Disease in Rapeseed and Mustard} \def\citationAuthor{Singh HK, Kumar P and Singh SK}\def\received{\hspace*{4pt}Received on\hspace*{35pt}:\hspace*{17pt}12/04/2021} \def\accapted{~\\\hspace*{4pt}Accepted on\hspace*{33.5pt}:\hspace*{17pt}05/07/2021} \def\published{~\\\hspace*{4pt}Published online\hspace*{16.4pt}:\hspace*{17pt}05/09/2021} \usepackage{amsfonts,amssymb,amsbsy,latexsym,amsmath,tabulary,graphicx,xcolor} \usepackage{sure-xelatex} 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\newenvironment{typesetAbstractGroup}{}{}% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \usepackage{natbib} \setlength\bibhang{0.35in}\setlength{\bibsep}{0pt}\def\bibyear#1{#1} \begin{document} \def\authorCount{3} \def\affCount{2} \def\journalTitle{Journal of AgriSearch} \title{Yield Loss Assessment due to Alternaria Blight Disease in Rapeseed and Mustard} \author{\MakeTextUppercase{\myembrima\fontsize{9}{10.8}\selectfont H~K~Singh\textsuperscript{{1}}$^*$, Pradip~Kumar\textsuperscript{{1}} and S~K~Singh\textsuperscript{{2}}} {\blfootnote{\protect\raggedright{\textsuperscript{1}\hspace*{3.8pt}Department of Plant Pathology, Acharya Narendra Dev University of Agriculture \& Technology, Kumarganj, Uttar Pradesh 224 229, India}}} {\blfootnote{\protect\raggedright{\textsuperscript{2}\hspace*{3.8pt}Crop Research Station, Bahraich, Acharya Narendra Dev University of Agriculture \& Technology, Kumarganj, Uttar Pradesh 224 229, India}}} {\blfootnote{{\textsuperscript{*}Corresponding author email:} {{\color{blue}\urlstyle{same}\href{mailto:hksndu@gmail.com}{\url{hksndu@gmail.com}}}}}}} \def\RunningHead{Yield loss due to alternaria Blight in rapeseed and mustard} \def\RunningAuthor{Singh et al }\maketitle \setcounter{footnote}{2} \begin{abstract} An experiment was conducted to assess the yield losses due to Alternaria blight in different released cultivars of rapeseed-mustard during Rabi 2016-17 and 2017-18 planting 15 varieties of the rapeseed-mustard namely RH-749, Pusa gold, KBS-3, GSL-5, GSL-2, Pusa mustard-27, Jhumka, Anuradha, PT-30, T-27, PM-25, Pusa aditya, PT-303, Sheetal, TMLC-2 in six replications. The minimum disease severity on leaves and pods were recorded in protected and unprotected conditions in the variety GSL-5 (2.65\% and 16.26\%), (1.75\% and 6.32\%) followed by GSL-2 (3.20\% and 19.72\%), (1.89\% and 6.75\%) Pusa aditya (6.91\% and 19.89\%), (2.18\% and 7.20\%) and Sheetal (7.99\% and 23.13\%), (3.21\% and 7.43\%), respectively. On the basis of mean values the minimum infection rate on pods was recorded GSL-2 (0.083 and 0.042) followed by Pusa aditya (0.089 and 0.045), respectively. The minimum AUDPC on leaf under protected and unprotected was recorded on cultivar GSL-5 (76.40 and 496.20) followed by GSL-2 (88.80 and 596.85), Pusa aditya (205.35 and 588.25), Sheetal (241.70 and 717.30) and RH-749 (244.95 and 950.85), respectively. Whereas the minimum AUDPC on pod was recorded with variety GSL-5 (32.10) and Pusa aditya (200.25) followed by [GSL-2 (34.65) and Sheetal (206.65)], [Pusa aditya (39.35) and RH-749 (566.41)] and [Sheetal (60.95) and Pusa mustard-27 (741.75)], respectively. The maximum yield avoidable loss (\%) was recorded T-27 (46.67\%) followed by Jhumka (44.53\%, Anuradha (40.00\%), KBS-3 (38.77\%) and Pusa gold (34.13\%), respectively. Minimum avoidable loss (\%) was recorded on cultivar GSL-5 (11.09\%) followed by Anuradha (14.36\%), GSL-2 (17.73\%), RH-749 (17.90\%) and Pusa aditya, respectively. In present investigation out of 15 genotypes examined for blight resistance, GSL-5, Pusa Aditya, Sheetal and GSL-2 exhibited good level of partial resistance i.e. moderately resistance. Other 11 varieties RH-749, Pusa gold, Pusa mustard-27, Jhumka, Anuradha, PT-30, PT-303, T-27, KBS-3, TMLC-2 and PM-25 were susceptible based on the mean basis severity (PDI), reduced apparent infection rate and lesser value of AUDPC.\def\keywordstitle{Keywords} {{~\\[-6pt]\noindent\sc{\fontsize{8}{9.6}\mycambria\selectfont\keywordstitle}~\\}Rapeseed\-mustard, variety, yield loss, fungicides, Alternaria brassicae} \end{abstract}\saythanks\baselineskip=\the\baselineskip plus.2pt minus.2pt \vspace*{5pt}\begin{multicols}{2} \section{INTRODUCTION} \lettrine[lines=3,nindent=0em,findent=1pt,loversize=0.1]{R}{}apeseed-mustard is one of the major oilseed crops cultivated in India and around the world. It is extensively grown traditionally as a pure crop as well as intercrop (mixed crop) in marginal and sub-marginal soils in the eastern, northern and north-western States of India \unskip~\citep{1190113:22996548}. Rapeseed and mustard belong to family Brassicaceae, Indian mustard commonly known as \textit{rai} is the most important member of Cruciferous oil seeds occupying nearly 70 per cent of the total area under rapeseed-mustard \unskip~\citep{1190113:22996545}. The leaves of young plants are used as green vegetable and whole plants as green fodder. The seeds are highly nutritive containing 38 to 57 per cent erucic acid, 4.7 to 13 per cent linoleic acid and 27 per cent oleic acid\unskip~\citep{1190113:22996563}. The rapeseed and mustard group dominates among oilseed crops in area and production on global level. India is one of the largest rapeseed-mustard growing countries in the world, occupying the third position in area and production after China and Canada sharing 12 per cent of world's total production. At global level, rapeseed-mustard is cultivated on 5.96 million hectares with production of 8.32 million tonnes and productivity of 1397 kg/ha \unskip~\citep{1190113:22996637}. Rapeseed-mustard is the second most important oilseed crop after groundnut and accounts for nearly 30.7 per cent of the total oilseed production in the country. There are several diseases known to affect the mustard crop but foliar diseases like Alternaria leaf spot, white rust (blister), downy and powdery mildews cause heavy yield losses to the crop. Alternaria blight caused by Alternaria brassicae (Berk.) Sacc and Alternaria brassicicola (Schw) Wiltshere is a world-widely distributed and economically important disease on rapeseed (Brassica napus), mustard (Brassica campestris) and other brassicas \unskip~\citep{1190113:22996559}, \unskip~\cite{1190113:22996570} , \unskip~\cite{1190113:22996569}, \unskip~\cite{1190113:22996567},\unskip~\cite{1190113:22996558}. The characteristic symptom is the development of circular spots on leaves and pods with concentric ring. Later on spots coalesce and ultimately the leaves become blighted. This disease is severe yield destabilizing factor causing reduction from 35 to 45 per cent and inflicts very severe losses up to 70 per cent in Indian mustard \unskip~\citep{1190113:22996565}. The disease also adversely affects quality by reducing seed size, impairing seed colour and oil content \unskip~\citep{1190113:22996560}. There is no information available on the resistance sources. Chemicals are being successfully used in controlling the disease \unskip~\citep{1190113:22996567}. However, chemicals pollute our environment so much which is not desirable, so the present study was conducted to assess the yield losses due to Alternaria blight in different cultivars. \section{MATERIALS AND METHODS} The experiment was conducted during Rabi 2016-17 and 2017-18 at Student's Instructional Farm of the Acharya Narendra Deva University of Agriculture and Technology, Kumarganj, Ayodhya (located at 260 47'N, 820 12'E) by planting 15 varieties of the rapeseed- mustard namely RH-749, Pusa gold, KBS-3, GSL-5, GSL-2, Pusa mustard-27, Jhumka, Anuradha, PT-30, T-27, PM-25, Pusa aditya, PT-303, Sheetal, TMLC-2 in six replications in Randomized Block Design having plot size of 4.0 m x 3.0 m with an spacing of 30 cm x 15 cm row to row and plant to plant, respectively. Fertilizers NPK were applied at the rate of 120 N, 60 P, 60 K, kg/ha, respectively. Half dose of nitrogen, full dose of phosphorus and potash were applied as basal and remaining half dose of nitrogen was top dressed at first irrigation. Three replications were protected and three replications were unprotected. Half seeds of each variety were treated with Apron @ 6g/kg seed separately before sowing and were sown only in protected plots. Unprotected plots were sown by untreated seeds of each cultivar separately. The three sprays of Trifloxystrobin 25\% + Tebuconazol 50\% (Nativo) @ 0.08\% were given starting from first appearance of disease followed by 15 days intervals in the protected plots. Disease severities in protected and unprotected plots were recorded separately on lower, middle and upper leaves of randomly selected 10 plants in each treatment and replication after 10 days of last spray and on pods at 15 days before harvest through 0-9 rating scale as per recommendation of Proceedings of All India Coordinated Research Project on Rapeseed- Mustard, 2017, Sewar, Bharatpur, Rajasthan which is as under [0=No lesion [Immune (I)]; 1= Non sporulating pinpoint size or small brown necrotic spots, less than 5\% leaf area covered by the lesions [Highly resistant (HR)]; 3= small roundish slightly sporulating larger brown necrotic spot, about 1-2 mm in diameter with a distinct margin or yellow halo, 5-10\% leaf area covered by lesions [Resistant (R)]; 5 = moderate sporulation, non-coalescing larger brown spots, about 2-4mm in diameter with a distinct margin or yellow halo, 11-25\% leaf area covered by the lesions [Moderately resistant (MR)]; 7 = moderately sporulating, coalescing, larger brown spots about 4-5 mm in diameter, 26-50\% leaf area covered by the lesions [Susceptible (S)]; 9 = profusely sporulating, rapidly coalescing, brown to black spots measuring more than 6mm in diameter without margins covering more than 50\% leaf area [Highly susceptible (HS)] and genotypes were classified based on the highest of the two years disease score. The per cent disease index (PDI) was calculated by employing formula mentioned below: \begin{eqnarray*}PDI=\frac{Sum\;of\;all\;numerical\;rating\times100}{Total\;no.\;of\;leaves\;observed\times Maximum\;rating} \end{eqnarray*} \textbf{Infection rate (r)} The period from the initial appearance of symptoms and the final incidence of the disease was also considered and the apparent infection rate of the disease spread was calculated according to the following formula \unskip~\citep{1190113:22996640}. \begin{eqnarray*}Infection\;Rate\;(r)=\frac{2.3}{t_2-t_1}\log_e\frac{x_2(1-x_1)}{x_1(1-x_{2)}} \end{eqnarray*} Where, t\ensuremath{_{1\ }}\ensuremath{_{}}= time during first observation t\ensuremath{_{2\ }}= time (days) during second observations t\ensuremath{_{2\ }}- t\ensuremath{_{1\ }}= time intervals between two observations x\ensuremath{_{1\ }}= percent disease intensity value in decimal at corresponding t\ensuremath{_{1}} time x\ensuremath{_{2}} = percent disease intensity value in decimal at corresponding t\ensuremath{_{2}} time Log e = natural log \textbf{Area under disease progress curve (AUDPC)} The Area Under Disease Progress Curve (AUDPC) was calculated by the formula as under: \begin{eqnarray*}AUPDC=\sum_{i=1}^{n}\left[Y_{i+1}+Y_i\right]\times0.5\left[T_{i+1}+T_i\right] \end{eqnarray*} Where Y\ensuremath{_{i\ }}= Alternaria blight severity (\%) at the I\ensuremath{^{st}} observation T\ensuremath{_{i\ }}= Time (days) of the I\ensuremath{^{st}} observation n = Total number of observations \textbf{Avoidable Yield loss} Yield (kg/plot) and test weight (g/1000 seed) was recorded in each treatment separately to know the difference in yield between unprotected and protected condition and yield kg/ha was calculated. Test weight of seed of each treatment was recorded as g/1000 seed weight. The avoidable Yield loss was calculated by employing formula mentioned below: \begin{eqnarray*}Avoidable\;yield\;loss=\frac{Y_p-Y_{up}}{Y_p}\times100 \end{eqnarray*} Where, Yp = Yield under protection condition Yup = Yield under unprotected condition \section{RESULTS AND DISCUSSION} Yield losses due to Alternaria blight disease in different 15 varieties of rapeseed-mustard perusal of the Table~\ref{table-wrap-3d37dc157f574ed18f69b248ef5c5916} indicates the less disease severity on leaves and pods were recorded in protected plots in comparison to unprotected plots in each cultivar (Table~\ref{table-wrap-6c8b2d7389284de2a222ae375aade5b7} and Table~\ref{table-wrap-cfe0018e05764601beefcb79bf4f66db}). The minimum disease severity on leaves and pods were recorded in protected and unprotected conditions in the variety GSL-5 (2.65\% and 16.26\%), (1.75\% and 6.32\%) followed by GSL-2 (3.20\% and 19.72\%), (1.89\% and 6.75\%) Pusa aditya (6.91\% and 19.89\%), (2.18\% and 7.20\%) and Sheetal (7.99\% and 23.13\%), (3.21\% and 7.43\%), respectively (Table 1 and 3). Varied per cent disease severity in rapeseed-mustard has been recorded under protected and unprotected conditions by several workers \unskip~\citep{1190113:22996557}. Infection rate recorded on leaves under protected and unprotected conditions varied from 0.031 to 0.070 and 0.048 to 0.092, respectively and minimum infection rate on leaves was recorded on cultivar [Sheetal (0.031) and T-27 (0.048)] followed by [Pusa aditya (0.035) and GSL-2 (0.052)], [TMLC-2 (0.035) and GSL-5 (0.052)] and GSL-5 (0.037) and Sheetal (0.056)], respectively (Table~\ref{table-wrap-994046494d0540aba4f101dfb8810d24} and Table~\ref{table-wrap-df06c1bcaf9c4b7c8b7c59fa5b6dc114}). \end{multicols} \begin{table*}[!htbp] \caption{{Disease severity of Alternaria blight on leaves under protected and unprotected conditions in different rapeseed-mustard varieties during 2016-2017 and 2017-18 (Pooled data)} } \label{table-wrap-6c8b2d7389284de2a222ae375aade5b7} \def\arraystretch{1.5} \fontsize{8pt}{9.6}\selectfont \ignorespaces \centering \begin{tabulary}{\linewidth}{p{\dimexpr.10580000000000002\linewidth-2\tabcolsep}p{\dimexpr.12209999999999997\linewidth-2\tabcolsep}p{\dimexpr.09190000000000001\linewidth-2\tabcolsep}p{\dimexpr.06310000000000001\linewidth-2\tabcolsep}p{\dimexpr.06699999999999999\linewidth-2\tabcolsep}p{\dimexpr.05249999999999999\linewidth-2\tabcolsep}p{\dimexpr.05550000000000001\linewidth-2\tabcolsep}p{\dimexpr.0639\linewidth-2\tabcolsep}p{\dimexpr.0692\linewidth-2\tabcolsep}p{\dimexpr.073100000000000005\linewidth-2\tabcolsep}p{\dimexpr.0608\linewidth-2\tabcolsep}p{\dimexpr.06470000000000001\linewidth-2\tabcolsep}p{\dimexpr.0608\linewidth-2\tabcolsep}p{\dimexpr.04959999999999999\linewidth-2\tabcolsep}} \hline \multicolumn{1}{p{\dimexpr(.10580000000000002\linewidth-2\tabcolsep)}}{\multirow{2}{\linewidth}{\textbf{Genotypes}}} & \multicolumn{1}{p{\dimexpr(.12209999999999997\linewidth-2\tabcolsep)}}{\multirow{2}{\linewidth}{\cAlignHack \textbf{First a}\textbf{ppearance of } \textbf{disease } \mbox{}\protect\newline \textbf{(DAS)}}} & \multicolumn{5}{p{\dimexpr(.33\linewidth-2\tabcolsep)}}{\cAlignHack \textbf{Percent disease severity on leaves under unprotected conditions } \mbox{}\protect\newline \textbf{(DAS)}} & \multicolumn{1}{p{\dimexpr(.0639\linewidth-2\tabcolsep)}}{\multirow{2}{\linewidth}{\textbf{AUDPC}}} & \multicolumn{5}{p{\dimexpr(.3286\linewidth-2\tabcolsep)}}{\cAlignHack \textbf{Percent disease severity } \textbf{on leaves under protected conditions (days after sowing)}} & \multicolumn{1}{p{\dimexpr(.04959999999999999\linewidth-2\tabcolsep)}}{\multirow{2}{\linewidth}{\textbf{AUDPC}}}\\ & & \cAlignHack \textbf{65} & \cAlignHack \textbf{75} & \cAlignHack \textbf{85} & \cAlignHack \textbf{95} & \cAlignHack \textbf{Mean} & & \cAlignHack \textbf{65} & \cAlignHack \textbf{75} & \cAlignHack \textbf{85} & \cAlignHack \textbf{95} & \cAlignHack \textbf{Mean} & \\ RH-749 & 50 & \cAlignHack 12.10 (20.36) & \cAlignHack 26.76 (31.18) & \cAlignHack 34.40 (35.91) & \cAlignHack 55.75 (48.33) & \cAlignHack 32.25 (33.95) & 950.85 & \cAlignHack 2.44 \mbox{}\protect\newline (8.91) & \cAlignHack 4.45 \mbox{}\protect\newline (12.11) & \cAlignHack 10.85 (19.19) & \cAlignHack 15.95 (23.50) & \cAlignHack 8.42 (15.93) & 244.95\\ Pusa gold & 52 & \cAlignHack 20.20 (26.71) & \cAlignHack 43.40 (41.21) & \cAlignHack 51.80 (46.03) & \cAlignHack 75.08 (60.07) & \cAlignHack 47.62 (43.51) & 1428.40 & \cAlignHack 7.33 \mbox{}\protect\newline (15.68) & \cAlignHack 16.07 (23.66) & \cAlignHack 22.35 (28.25) & \cAlignHack 34.67 (36.09) & \cAlignHack 20.10 (25.92) & 594.20\\ KBS-3 & 51 & \cAlignHack 22.46 (28.32) & \cAlignHack 53.66 (47.12) & \cAlignHack 66.83 (54.82) & \cAlignHack 72.06 (58.12) & \cAlignHack 53.75 (47.10) & 1677.50 & \cAlignHack 5.75 \mbox{}\protect\newline (13.81) & \cAlignHack 16.00 (23.56) & \cAlignHack 20.74 (27.06) & \cAlignHack 32.20 (34.57) & \cAlignHack 18.67 (24.75) & 557.15\\ GSL-5 & 60 & \cAlignHack 6.36 \mbox{}\protect\newline (4.65) & \cAlignHack 12.47 (20.70) & \cAlignHack 21.72 (27.76) & \cAlignHack 24.50 (29.67) & \cAlignHack 16.26 (20.69) & 496.20 & \cAlignHack 1.51 \mbox{}\protect\newline (7.04) & \cAlignHack 2.31 \mbox{}\protect\newline (8.72) & \cAlignHack 2.37 (8.91) & \cAlignHack 4.41 (12.11) & \cAlignHack 2.65 (9.19) & 76.40\\ GSL-2 & 59 & \cAlignHack 7.33 \mbox{}\protect\newline (15.68) & \cAlignHack 15.13 (22.07) & \cAlignHack 25.36 (32.66) & \cAlignHack 31.06 (33.89) & \cAlignHack 19.72 (25.67) & 596.85 & \cAlignHack 1.75 \mbox{}\protect\newline (7.49) & \cAlignHack 2.16 \mbox{}\protect\newline (8.53) & \cAlignHack 2.78 (9.63) & \cAlignHack 6.13 (14.30) & \cAlignHack 3.20 (9.99) & 88.80\\ Pusa mustard-27 & 50 & \cAlignHack 13.33 (21.39) & \cAlignHack 34.26 (35.85) & \cAlignHack 45.88 (42.65) & \cAlignHack 56.10 (48.50) & \cAlignHack 37.39 (37.09) & 1148.55 & \cAlignHack 3.21 \mbox{}\protect\newline (10.31) & \cAlignHack 11.71 (20.00) & \cAlignHack 16.20 (23.73) & \cAlignHack 18.20 (25.25) & \cAlignHack 12.33 (19.82) & 386.15\\ Jhumka & 50 & \cAlignHack 17.33 (24.58) & \cAlignHack 35.83 (36.51) & \cAlignHack 66.05 (54.39) & \cAlignHack 74.66 (59.80) & \cAlignHack 48.46 (43.82) & 1478.75 & \cAlignHack 12.56 (20.79) & \cAlignHack 21.93 (27.90) & \cAlignHack 28.36 (32.20) & \cAlignHack 38.53 (38.35) & \cAlignHack 25.34 (29.81) & 758.35\\ Anuradha & 49 & \cAlignHack 17.30 (24.58) & \cAlignHack 42.60 (40.74) & \cAlignHack 53.70 (47.12) & \cAlignHack 79.55 (63.15) & \cAlignHack 48.29 (43.89) & 1447.25 & \cAlignHack 16.01 (33.66) & \cAlignHack 24.41 (29.80) & \cAlignHack 35.87 (36.81) & \cAlignHack 43.33 (41.15) & \cAlignHack 29.90 (35.35) & 899.50\\ PT-30 & 50 & \cAlignHack 25.30 (30.20) & \cAlignHack 40.35 (39.37) & \cAlignHack 56.00 (48.45) & \cAlignHack 84.50 (66.81) & \cAlignHack 51.53 (46.23) & 1512.50 & \cAlignHack 14.31 (22.22) & \cAlignHack 23.30 (28.86) & \cAlignHack 28.03 (31.95) & \cAlignHack 41.50 (40.11) & \cAlignHack 26.78 (30.78) & 729.35\\ T-27 & 50 & \cAlignHack 30.50 (32.52) & \cAlignHack 41.93 (40.34) & \cAlignHack 53.53 (47.01) & \cAlignHack 65.16 (53.85) & \cAlignHack 47.73 (43.68) & 1432.9 & \cAlignHack 15.13 (22.87) & \cAlignHack 24.68 (29.80) & \cAlignHack 30.30 (33.40) & \cAlignHack 42.50 (40.69) & \cAlignHack 28.15 (31.69) & 837.95\\ PM-25 & 54 & \cAlignHack 13.26 (21.32) & \cAlignHack 30.38 (33.77) & \cAlignHack 46.18 (42.82) & \cAlignHack 57.02 (49.02) & \cAlignHack 36.71 (36.75) & 1117.00 & \cAlignHack 7.64 \mbox{}\protect\newline (16.00) & \cAlignHack 12.71 (20.80) & \cAlignHack 19.73 (26.35) & \cAlignHack 24.60 (29.73) & \cAlignHack 16.17 (23.24) & 485.60\\ Pusa aditya & 60 & \cAlignHack 9.16 \mbox{}\protect\newline (17.66) & \cAlignHack 14.50 (22.38) & \cAlignHack 23.58 (29.06) & \cAlignHack 32.33 (34.63) & \cAlignHack 19.89 (25.93) & \cAlignHack 588.25 & \cAlignHack 3.86 \mbox{}\protect\newline (11.39) & \cAlignHack 5.33 \mbox{}\protect\newline (13.31) & \cAlignHack 8.10 (16.54) & \cAlignHack 10.35 (18.72) & \cAlignHack 6.91 (14.99) & 205.35\\ PT-303 & 47 & \cAlignHack 25.76 (30.53) & \cAlignHack 35.64 (26.63) & \cAlignHack 50.80 (45.46) & \cAlignHack 74.66 (59.80) & \cAlignHack 46.71 (43.11) & \cAlignHack 1366.50 & \cAlignHack 12.70 (20.88) & \cAlignHack 19.26 (26.06) & \cAlignHack 27.37 (31.56) & \cAlignHack 32.66 (34.88) & \cAlignHack 22.99 (22.34) & 693.10\\ Sheetal & 50 & \cAlignHack 8.34 \mbox{}\protect\newline (16.74) & \cAlignHack 18.63 (25.55) & \cAlignHack 32.30 (34.63) & \cAlignHack 33.26 (35.24) & \cAlignHack 23.13 (28.04) & \cAlignHack 717.30 & \cAlignHack 4.10 \mbox{}\protect\newline (11.68) & \cAlignHack 7.12 \mbox{}\protect\newline (15.45) & \cAlignHack 9.25 (17.66) & \cAlignHack 11.50 (19.82) & \cAlignHack 7.99 (16.15) & 241.70\\ TMLC-2 & 52 & \cAlignHack 32.24 (34.57) & \cAlignHack 55.32 (48.04) & \cAlignHack 66.36 (54.57) & \cAlignHack 86.75 (68.61) & \cAlignHack 60.16 (51.45) & \cAlignHack 1811.75 & \cAlignHack 17.10 (24.43) & \cAlignHack 30.71 (33.65) & \cAlignHack 38.10 (38.12) & \cAlignHack 45.71 (42.53) & \cAlignHack 32.91 (34.68) & 1002.15\\ \textbf{Mean} & & \cAlignHack 17.33 (23.19) & \cAlignHack 33.29 (34.57) & \cAlignHack 46.23 (42.73) & \cAlignHack 60.10 (51.30) & & \cAlignHack & \cAlignHack 8.37 \mbox{}\protect\newline (16.85) & \cAlignHack 14.80 (22.63) & \cAlignHack 20.00 (26.56) & \cAlignHack 26.81 (31.18) & \cAlignHack & \\ \textbf{SEm\ensuremath{\pm}} & & \cAlignHack \textbf{0.64} & \cAlignHack \textbf{0.56} & \cAlignHack \textbf{0.61} & \cAlignHack \textbf{0.40} & & \cAlignHack & \cAlignHack \textbf{0.86} & \cAlignHack \textbf{0.83} & \cAlignHack \textbf{0.7} & \textbf{0.51} & & \\ \textbf{C.V} & & \cAlignHack \textbf{13.2} & \cAlignHack \textbf{6.6} & \cAlignHack \textbf{5.3} & \cAlignHack \textbf{2.6} & & \cAlignHack & \cAlignHack \textbf{8.4} & \cAlignHack \textbf{4.4} & \cAlignHack \textbf{2.7} & \textbf{1.5} & & \\ \textbf{C.D at 5\%} & & \cAlignHack \textbf{1.85} & \cAlignHack \textbf{1.63} & \cAlignHack \textbf{1.77} & \cAlignHack \textbf{1.15} & & \cAlignHack & \cAlignHack \textbf{2.49} & \cAlignHack \textbf{2.41} & \cAlignHack \textbf{2.08} & \textbf{1.48} & & \\ \hline \end{tabulary}\par \end{table*}\begin{multicols}{2} \end{multicols} \begin{table*}[!htbp] \caption{{Apparent infection rate (R) ofAlternaria blight on leaves under protected and unprotected conditions of rapeseed mustard varieties during 2016-2017 and 2017-18 (Pooled data)} } \label{table-wrap-994046494d0540aba4f101dfb8810d24} \def\arraystretch{1.5} \fontsize{8pt}{9.6}\selectfont \ignorespaces \centering \begin{tabulary}{\linewidth}{p{\dimexpr.1823\linewidth-2\tabcolsep}p{\dimexpr.11959999999999997\linewidth-2\tabcolsep}p{\dimexpr.09569999999999999\linewidth-2\tabcolsep}p{\dimexpr.10290000000000001\linewidth-2\tabcolsep}p{\dimexpr.1064\linewidth-2\tabcolsep}p{\dimexpr.10529999999999998\linewidth-2\tabcolsep}p{\dimexpr.09810000000000002\linewidth-2\tabcolsep}p{\dimexpr.1005\linewidth-2\tabcolsep}p{\dimexpr.0892\linewidth-2\tabcolsep}} \hline \multicolumn{1}{p{\dimexpr(.1823\linewidth-2\tabcolsep)}}{\multirow{2}{\linewidth}{\textbf{Genotypes}}} & \multicolumn{4}{p{\dimexpr(.42459999999999994\linewidth-2\tabcolsep)}}{\cAlignHack \textbf{Infection rate on leaf under unprotected conditions after 10 days intervals}} & \multicolumn{4}{p{\dimexpr(.3931\linewidth-2\tabcolsep)}}{\cAlignHack \textbf{Infection rate on leaf under protected } \textbf{conditions after 10 days intervals}}\\ & \textbf{65-75} & \textbf{75-85} & \textbf{85-95} & \textbf{Mean} & \textbf{65-75} & \textbf{75-85} & \textbf{85-95} & \textbf{Mean}\\ RH-749 & 0.098 & 0.036 & 0.088 & 0.074 & 0.062 & 0.096 & 0.044 & 0.067\\ Pusa gold & 0.111 & 0.034 & 0.103 & 0.082 & 0.088 & 0.041 & 0.061 & 0.063\\ KBS-3 & 0.138 & 0.055 & 0.024 & 0.072 & 0.114 & 0.032 & 0.064 & 0.070\\ GSL-5 & 0.074 & 0.067 & 0.015 & 0.052 & 0.043 & 0.003 & 0.064 & 0.037\\ GSL-2 & 0.065 & 0.064 & 0.028 & 0.052 & 0.021 & 0.026 & 0.082 & 0.043\\ Pusa mustard-27 & 0.122 & 0.049 & 0.041 & 0.071 & 0.138 & 0.038 & 0.014 & 0.063\\ Jhumka & 0.098 & 0.125 & 0.041 & 0.088 & 0.067 & 0.034 & 0.046 & 0.049\\ Anuradha & 0.126 & 0.045 & 0.093 & 0.088 & 0.053 & 0.055 & 0.031 & 0.046\\ PT-30 & 0.069 & 0.063 & 0.145 & 0.092 & 0.060 & 0.025 & 0.060 & 0.048\\ T-27 & 0.050 & 0.047 & 0.048 & 0.048 & 0.061 & 0.028 & 0.053 & 0.047\\ PM-25 & 0.105 & 0.068 & 0.044 & 0.072 & 0.056 & 0.052 & 0.028 & 0.045\\ Pusa aditya & 0.052 & 0.060 & 0.044 & 0.052 & 0.034 & 0.045 & 0.027 & 0.035\\ PT-303 & 0.047 & 0.062 & 0.105 & 0.071 & 0.049 & 0.046 & 0.025 & 0.040\\ Sheetal & 0.092 & 0.073 & 0.004 & 0.056 & 0.050 & 0.023 & 0.021 & 0.031\\ TMLC-2 & 0.096 & 0.047 & 0.120 & 0.088 & 0.076 & 0.033 & 0.025 & 0.035\\ \hline \end{tabulary}\par \end{table*}\begin{multicols}{2} On the basis of mean values infection rate was recorded on pods under protected and unprotected conditions varied from 0.083 to 0.121 and 0.042 to 0.122, respectively.Minimum infection rate on pods was recorded GSL-2 (0.083 and 0.042) followed by Pusa aditya (0.089 and 0.045), [PT-303 (0.095) and GSL-5 (0.044)] and Sheetal (0.107 and 0.046), respectively (Table~\ref{table-wrap-994046494d0540aba4f101dfb8810d24} and Table~\ref{table-wrap-df06c1bcaf9c4b7c8b7c59fa5b6dc114} ). \unskip~\cite{1190113:22996547} ,\unskip~\citet{1190113:22996547} also reported from Pantnagar, mustard genotypes PR-8988 and PR-9024 exhibited reduced apparent infection rates as compared to susceptible genotypes Varuna. The Area Under Disease Progress Curve (AUDPC) on leaves under protected and unprotected conditions ranged from 76.40 to 1002.15 and 496.20 to 1811.75, respectively. The minimum AUDPC was recorded on cultivar GSL-5 (76.40 and 496.20) followed by GSL-2 (88.80 and 596.85), Pusa aditya (205.35 and 588.25), Sheetal (241.70 and 717.30) and RH-749 (244.95 and 950.85), respectively. Whereas the AUDPC on pods under protected and unprotected conditions ranged from 32.10 to 356.0 and 200.25 to 2190.50, respectively. The minimum AUDPC was recorded on cultivars [GSL-5 (32.10) and Pusa aditya (200.25) followed by [GSL-2 (34.65) and Sheetal (206.65)], [Pusa aditya (39.35) and RH-749 (566.41)] and [Sheetal (60.95) and Pusa mustard-27 (741.75)], respectively (Table~\ref{table-wrap-6c8b2d7389284de2a222ae375aade5b7} and Table~\ref{table-wrap-cfe0018e05764601beefcb79bf4f66db}). The maximum yield avoidable loss (\%) was recorded T-27 (46.67\%) followed by Jhumka (44.53\%), Anuradha (40.00\%), KBS-3 (38.77\%) and Pusa gold (34.13\%), respectively. Mnimum avoidable loss (\%) was recorded on cultivar GSL-5 (11.09\%) followed by Anuradha (14.36\%), GSL-2 (17.73\%), RH-749 (17.90\%) and Pusa aditya, respectively (Table~\ref{table-wrap-3d37dc157f574ed18f69b248ef5c5916} ). \unskip~\citet{1190113:22996568} and\unskip~\citet{1190113:22996547} also assessed the field resistance to Alternaria blight (Alternaria brassicae) in nine genotypes of Brassica juncea genotypes under field conditions and reported three genotype viz., PR-8988, PR-9024 and Kranti resistance with lower per cent blight cover, apparent infection rate and AUDPC values. In present finding the lower AUDPC values clearly separated the mustard genotypes with high level of partial resistance. AUDPC has been used successfully to evaluate the progress of disease rate on different crops also \unskip~\citep{1190113:22996547,1190113:22996552}.\unskip~\citet{1190113:22996566} have made similar studies to find out the resistance source and reported AUDPC ranged from 365.40 to 1414.20 in different genotypes evaluated against Alternaria blight of mustard. In present study, it is clear that genotypes with high level of resistance have good yield potential than susceptible ones. \end{multicols} \begin{table*}[!htbp] \caption{{Disease severity of Alternaria blight on pods under protected and unprotected conditions in different rapeseed-mustard varieties during 2016-2017 and 2017-18 (Pooled data)} } \label{table-wrap-cfe0018e05764601beefcb79bf4f66db} \def\arraystretch{1.5} \fontsize{8pt}{9.6}\selectfont \ignorespaces \centering \begin{tabulary}{\linewidth}{LLLLLLLLLLLLL} \hline \multicolumn{1}{p{\dimexpr(\mcWidth{1})}}{\multirow{2}{\linewidth}{\textbf{Genotypes}}} & \multicolumn{5}{p{\dimexpr(\mcWidth{2}+\mcWidth{3}+\mcWidth{4}+\mcWidth{5}+\mcWidth{6})}}{\textbf{ PDI on pods under unprotected conditions (Days after sowing)}} & \multicolumn{1}{p{\dimexpr(\mcWidth{3})}}{\multirow{2}{\linewidth}{\textbf{AUDPC}}} & \multicolumn{5}{p{\dimexpr(\mcWidth{8}+\mcWidth{9}+\mcWidth{10}+\mcWidth{11}+\mcWidth{12})}}{\textbf{PDI on pods under protected conditions (Days after sowing)}} & \multicolumn{1}{p{\dimexpr(\mcWidth{5})}}{\multirow{2}{\linewidth}{\textbf{AUDPC}}}\\ & \textbf{85} & \textbf{95} & \textbf{105} & \textbf{115} & \textbf{Mean} & & \textbf{85} & \textbf{95} & \textbf{105} & \textbf{115} & \textbf{Mean} & \\ RH-749. & 3.73 (11.09) & 17.06 (24.43) & 23.73 (29.13) & 47.51 (43.57) & 23.00 (27.05) & 566.41 & - & 1.40 (6.80) & 5.26 (13.31) & 16.90 (24.27) & 7.85 (14.79) & 144.10\\ Pusa gold & 7.46 (15.89) & 22.26 (28.18) & 43.12 (41.03) & 58.16 (49.72) & 32.7 (33.70) & 981.90 & - & 4.45 (12.11) & 10.26 (18.63) & 31.23 (33.96) & 15.31 (21.57) & 281.00\\ KBS-3 & 3.83 (11.24) & 17.43 (24.65) & 35.47 (36.57) & 51.25 (45.69) & 26.99 (29.54) & 804.40 & - & 3.80 (11.24) & 8.32 (16.74) & 25.82 (20.53) & 12.65 (16.17) & 231.30\\ GSL-5 & 3.68 (11.09) & 3.65 (10.94) & 5.89 (14.06) & 12.09 (20.36) & 6.32 (14.11) & 1174.26 & - & 0.50 (4.05) & 1.16 (6.29) & 3.60 (10.94) & 1.75 (7.09) & 32.10\\ GSL-2 & 3.78 (11.24) & 4.53 (12.25) & 6.56 (14.89) & 12.14 (20.36) & 6.75 (14.68) & 2190.50 & - & 0.76 (5.00) & 1.25 (6.55) & 3.67 (11.09) & 1.89 (7.55) & 34.65\\ Pusa mustard-27 & 3.90 (11.39) & 13.53 (21.56) & 34.26 (35.85) & 48.87 (44.37) & 25.14 (28.29) & 741.75 & - & 2.70 (9.46) & 6.60 (14.89) & 19.03 (25.84) & 9.44 (16.73) & 174.65\\ Jhumka & 5.23 (13.18) & 22.10 (28.04) & 41.83 (40.28) & 66.40 (54.57) & 33.89 (34.02) & 997.45 & - & 5.22 (13.18) & 15.46 (23.19) & 35.16 (36.39) & 18.61 (24.25) & 356.50\\ Anuradha & 4.40 (12.11) & 20.56 (26.99) & 31.19 (33.96) & 64.26 (53.31) & 30.10 (31.59) & 860.80 & - & 4.81 (12.66) & 14.04 (21.97) & 33.61 (35.43) & 17.49 (23.35) & 332.50\\ PT-30 & 5.30 (13.31) & 17.30 (24.58) & 35.74 (36.69) & 58.53 (49.89) & 29.21 (31.12) & 849.55 & - & 3.62 (10.94) & 10.95 (19.28) & 29.64 (32.96) & 14.74 (21.06) & 275.80\\ T-27 & 9.25 (11.25) & 24.46 (29.67) & 33.67 (35.49) & 52.13 (46.20) & 29.88 (32.15) & 888.20 & - & 4.70 (12.52) & 11.30 (12.64) & 28.86 (32.46) & 14.95 (21.54) & 280.80\\ PM-25 & 3.66 (11.07) & 19.53 (26.21) & 34.16 (35.79) & 60.10 (50.83) & 29.36 (30.97) & 855.70 & - & 6.45 (4.65) & 14.96 (22.71) & 32.66 (34.88) & 18.02 (20.75) & 345.15\\ Pusa aditiya & 3.93 (11.39) & 4.63 (12.39) & 6.63 (14.89) & 13.60 (21.64) & 7.20 (15.08) & 200.25 & - & 0.78 (5.07) & 1.32 (6.55) & 4.45 (12.11) & 2.18 (7.19) & 39.35\\ PT-303 & 4.43 (12.11) & 32.00 (34.45) & 33.65 (35.43) & 53.63 (47.06) & 30.93 (32.26) & 946.80 & - & 5.44 (13.44) & 13.59 (21.64) & 27.95 (31.88) & 15.66 (22.32) & 302.85\\ Sheetal & 3.98 (11.54) & 4.78 (12.66) & 6.83 (15.12) & 14.13 (22.06) & 7.43 (15.35) & 206.65 & - & 0.79 (5.10) & 2.56 (9.28) & 6.28 (14.54) & 3.21 (9.64) & 60.95\\ TMLC-2 & 8.00 (16.43) & 24.03 (29.33) & 38.85 (38.53) & 52.66 (46.55) & 30.88 (32.71) & 932.10 & - & 4.58 (12.39) & 12.48 (20.70) & 27.37 (31.56) & 14.81 (21.55) & 284.55\\ \textbf{Mean} & 4.97 (12.69) & 16.52 (23.09) & 27.44 (30.51) & 44.36 (39.72) & & & & 3.33 (9.24) & 8.63 (16.09) & 21.75 (25.92) & & \\ \textbf{SEm\ensuremath{\pm}} & \textbf{0.43} & \textbf{0.71} & \textbf{0.53} & \textbf{0.51} & & & & \textbf{0.32} & \textbf{0.50} & \textbf{0.60} & & \\ \textbf{C.V} & \textbf{14.9} & \textbf{7.5} & \textbf{3.3} & \textbf{2.00} & & & & \textbf{16.7} & \textbf{10.1} & \textbf{4.7} & & \\ \textbf{C.D at 5\%} & \textbf{1.23} & \textbf{2.05} & \textbf{1.52} & \textbf{1.47} & & & & \textbf{0.72} & \textbf{1.46} & \textbf{1.73} & & \\ \hline \end{tabulary}\par \end{table*}\begin{multicols}{2} \end{multicols} \begin{table*}[!htbp] \caption{{Apparent infection rate (R) of Alternaria blight on pods under protected and unprotected field conditions of rapeseed-mustard varieties during 2016-2017 and 2017-18 (Pooled data)} } \label{table-wrap-df06c1bcaf9c4b7c8b7c59fa5b6dc114} \def\arraystretch{1.5} \fontsize{8pt}{9.6}\selectfont \ignorespaces \centering \begin{tabulary}{\linewidth}{p{\dimexpr.14500000000000002\linewidth-2\tabcolsep}p{\dimexpr.10679999999999998\linewidth-2\tabcolsep}p{\dimexpr.11\linewidth-2\tabcolsep}p{\dimexpr.1018\linewidth-2\tabcolsep}p{\dimexpr.1018\linewidth-2\tabcolsep}p{\dimexpr.11510000000000002\linewidth-2\tabcolsep}p{\dimexpr.112\linewidth-2\tabcolsep}p{\dimexpr.1111\linewidth-2\tabcolsep}p{\dimexpr.0964\linewidth-2\tabcolsep}} \hline \multicolumn{1}{p{\dimexpr(.14500000000000002\linewidth-2\tabcolsep)}}{\multirow{2}{\linewidth}{\textbf{Genotypes}}} & \multicolumn{4}{p{\dimexpr(.4204\linewidth-2\tabcolsep)}}{\cAlignHack \textbf{Infection rate on pods (10 days }\textbf{intervals) } \textbf{ under unprotected conditions}} & \multicolumn{4}{p{\dimexpr(.4346\linewidth-2\tabcolsep)}}{\cAlignHack \textbf{Infection rate on }\textbf{pods (}\textbf{10 days intervals) } \textbf{ under protected conditions}}\\ & \textbf{85-95} & \textbf{95-105} & \textbf{105-115} & \textbf{Mean} & \textbf{85-95} & \textbf{95-105} & \textbf{105-115} & \textbf{Mean}\\ RH-749 & 0.167 & 0.041 & 0.107 & 0.105 & - & 0.136 & 0.130 & 0.113\\ Pusa gold & 0.127 & 0.096 & 0.061 & 0.095 & - & 0.089 & 0.138 & 0.114\\ KBS-3 & 0.165 & 0.096 & 0.065 & 0.109 & - & 0.108 & 0.134 & 0.121\\ GSL-5 & 0.004 & 0.050 & 0.079 & 0.044 & - & 0.085 & 0.116 & 0.101\\ GSL-2 & 0.019 & 0.039 & 0.068 & 0.042 & - & 0.050 & 0.110 & 0.083\\ Pusa mustard-27 & 0.135 & 0.120 & 0.061 & 0.105 & - & 0.093 & 0.120 & 0.106\\ Jhumka & 0.164 & 0.093 & 0.101 & 0.119 & - & 0.120 & 0.109 & 0.115\\ Anuradha & 0.172 & 0.056 & 0.014 & 0.080 & - & 0.117 & 0.113 & 0.116\\ PT-30 & 0.132 & 0.098 & 0.093 & 0.108 & - & 0.118 & 0.123 & 0.121\\ T-27 & 0.115 & 0.045 & 0.076 & 0.079 & - & 0.095 & 0.116 & 0.106\\ PM-25 & 0.185 & 0.076 & 0.106 & 0.122 & - & 0.094 & 0.101 & 0.098\\ Pusa aditya & 0.017 & 0.038 & 0.081 & 0.045 & - & 0.053 & 0.125 & 0.089\\ PT-303 & 0.232 & 0.007 & 0.082 & 0.107 & - & 0.100 & 0.090 & 0.095\\ Sheetal & 0.019 & 0.038 & 0.081 & 0.046 & - & 0.119 & 0.094 & 0.107\\ TMLC-2 & 0.129 & 0.070 & 0.056 & 0.085 & - & 0.109 & 0.097 & 0.103\\ \hline \end{tabulary}\par \end{table*}\begin{multicols}{2} \end{multicols} \begin{table*}[!htbp] \caption{{Reaction of rapeseed-mustard genotypes against Alternaria blight under unprotected conditions on the mean basis} } \label{table-wrap-d10b150a5aab4162ba348a5fc0523946} \def\arraystretch{1.5} \fontsize{8pt}{9.6}\selectfont \ignorespaces \centering \begin{tabulary}{\linewidth}{p{\dimexpr.25\linewidth-2\tabcolsep}p{\dimexpr.25\linewidth-2\tabcolsep}p{\dimexpr.1691\linewidth-2\tabcolsep}p{\dimexpr.33089999999999996\linewidth-2\tabcolsep}} \hline \cAlignHack \textbf{Rating scale (0-9)} & \textbf{Reactions} & \cAlignHack \textbf{No. of entries} & \textbf{Genotypes}\\ \cAlignHack 0 & Highly resistant & \cAlignHack NIL & \textbf{-}\\ \cAlignHack 3 & Resistant & \cAlignHack NIL & -\\ \cAlignHack 5 & Moderately resistant & \cAlignHack 4 & GSL-5, Pusa Aditya, Sheetal, GSL-2\\ \cAlignHack 7 & Susceptible & \cAlignHack 11 & TMLC-2, Anuradha, Pusa mustard-27, Pusa gold-45, Jhumka, KBS-3, PT-30, PT-303, T-27, PM-25, RH-749\\ \cAlignHack 9 & Highly susceptible & \cAlignHack NIL & -\\ \hline \end{tabulary}\par \end{table*}\begin{multicols}{2} \end{multicols} \begin{table*}[!htbp] \caption{{Test weight, under protected and unprotected conditions and yield loss (\%) in different varieties of rapeseed-mustard during 2016-2017 and 2017-18 (Pooled data)} } \label{table-wrap-3d37dc157f574ed18f69b248ef5c5916} \def\arraystretch{1.5} \fontsize{8pt}{9.6}\selectfont \ignorespaces \centering \begin{tabulary}{\linewidth}{p{\dimexpr.11\linewidth-2\tabcolsep}p{\dimexpr.11\linewidth-2\tabcolsep}p{\dimexpr.11\linewidth-2\tabcolsep}p{\dimexpr.11\linewidth-2\tabcolsep}p{\dimexpr.11\linewidth-2\tabcolsep}p{\dimexpr.11\linewidth-2\tabcolsep}p{\dimexpr.1385\linewidth-2\tabcolsep}p{\dimexpr.0981\linewidth-2\tabcolsep}p{\dimexpr.1034\linewidth-2\tabcolsep}} \hline \multicolumn{1}{p{\dimexpr(.11\linewidth-2\tabcolsep)}}{\multirow{2}{\linewidth}{\textbf{Genotypes}}} & \multicolumn{2}{p{\dimexpr(.22\linewidth-2\tabcolsep)}}{\cAlignHack \textbf{1000 Seed weight (g)}} & \multicolumn{1}{p{\dimexpr(.11\linewidth-2\tabcolsep)}}{\multirow{2}{\linewidth}{\cAlignHack \textbf{Increase in 1000 seed weight}}} & \multicolumn{1}{p{\dimexpr(.11\linewidth-2\tabcolsep)}}{\multirow{2}{\linewidth}{\cAlignHack \textbf{Avoidable loss (\%)}}} & \multicolumn{2}{p{\dimexpr(.2485\linewidth-2\tabcolsep)}}{\cAlignHack \textbf{Yield (kg/ ha}\textbf{\ensuremath{^{-1}}} \textbf{)}} & \multicolumn{1}{p{\dimexpr(.0981\linewidth-2\tabcolsep)}}{\multirow{2}{\linewidth}{\cAlignHack \textbf{Increase }\textbf{in yield} \textbf{(Kg)}}} & \multicolumn{1}{p{\dimexpr(.1034\linewidth-2\tabcolsep)}}{\multirow{2}{\linewidth}{\cAlignHack \textbf{Avoidable loss (\%)}}}\\ & \cAlignHack \textbf{Unprotected} & \cAlignHack \textbf{Protected} & & & \cAlignHack \textbf{Unprotected} & \cAlignHack \textbf{Protected} & & \\ RH-749 & \cAlignHack 3.38 & \cAlignHack 4.86 & \cAlignHack 1.48 & \cAlignHack 30.45 & \cAlignHack 2333.33 & \cAlignHack 2722.22 & \cAlignHack 388.89 & \cAlignHack 17.90\\ Pusa gold & \cAlignHack 2.79 & \cAlignHack 3.38 & \cAlignHack 0.59 & \cAlignHack 17.45 & \cAlignHack 1222.22 & \cAlignHack 1855.56 & \cAlignHack 633.34 & \cAlignHack 34.13\\ KBS-3 & \cAlignHack 2.96 & \cAlignHack 3.16 & \cAlignHack 0.20 & \cAlignHack 6.32 & \cAlignHack 1000.00 & \cAlignHack 1633.33 & \cAlignHack 633.33 & \cAlignHack 38.77\\ GSL-5 & \cAlignHack 4.59 & \cAlignHack 4.63 & \cAlignHack 0.04 & \cAlignHack 0.86 & \cAlignHack 2844.85 & \cAlignHack 3200.00 & \cAlignHack 255.15 & \cAlignHack 11.09\\ GSL-2 & \cAlignHack 3.22 & \cAlignHack 3.64 & \cAlignHack 0.42 & \cAlignHack 11.53 & \cAlignHack 1855.56 & \cAlignHack 2255.55 & \cAlignHack 299.99 & \cAlignHack 17.73\\ Pusa mustard-27 & \cAlignHack 3.18 & \cAlignHack 3.43 & \cAlignHack 0.25 & \cAlignHack 7.29 & \cAlignHack 1433.33 & \cAlignHack 1877.78 & \cAlignHack 344.45 & \cAlignHack 23.67\\ Jhumka & \cAlignHack 3.33 & \cAlignHack 3.40 & \cAlignHack 0.07 & \cAlignHack 2.05 & \cAlignHack 733.33 & \cAlignHack 1322.20 & \cAlignHack 588.87 & \cAlignHack 44.53\\ Anuradha & \cAlignHack 3.78 & \cAlignHack 3.87 & \cAlignHack 0.09 & \cAlignHack 2.32 & \cAlignHack 1655.56 & \cAlignHack 1933.33 & \cAlignHack 177.77 & \cAlignHack 14.36\\ PT-30 & \cAlignHack 2.90 & \cAlignHack 3.23 & \cAlignHack 0.33 & \cAlignHack 10.21 & \cAlignHack 700.00 & \cAlignHack 1166.66 & \cAlignHack 336.66 & \cAlignHack 40.00\\ T-27 & \cAlignHack 2.90 & \cAlignHack 3.14 & \cAlignHack 0.24 & \cAlignHack 7.64 & \cAlignHack 533.33 & \cAlignHack 1000.00 & \cAlignHack 466.67 & \cAlignHack 46.67\\ PM-25 & \cAlignHack 4.42 & \cAlignHack 4.52 & \cAlignHack 0.10 & \cAlignHack 2.21 & \cAlignHack 1800.00 & \cAlignHack 2500.00 & \cAlignHack 900.00 & \cAlignHack 28.00\\ Pusa aditya & \cAlignHack 4.23 & \cAlignHack 4.47 & \cAlignHack 0.24 & \cAlignHack 5.37 & \cAlignHack 2567.05 & \cAlignHack 3155.56 & \cAlignHack 388.51 & \cAlignHack 18.64\\ PT-303 & \cAlignHack 3.36 & \cAlignHack 3.54 & \cAlignHack 0.18 & \cAlignHack 5.08 & \cAlignHack 755.56 & \cAlignHack 1125.55 & \cAlignHack 266.70 & \cAlignHack 32.29\\ Sheetal & \cAlignHack 4.36 & \cAlignHack 4.40 & \cAlignHack 0.04 & \cAlignHack 0.91 & \cAlignHack 1600.22 & \cAlignHack 2055.55 & \cAlignHack 355.33 & \cAlignHack 22.15\\ TMLC-2 & \cAlignHack 2.74 & \cAlignHack 2.91 & \cAlignHack 0.17 & \cAlignHack 7.76 & \cAlignHack 722.22 & \cAlignHack 1089.89 & \cAlignHack 266.67 & \cAlignHack 33.73\\ \hline \end{tabulary}\par \end{table*}\begin{multicols}{2} Concurrent with present findings \unskip~\cite{1190113:22996562} also conducted experiment on Indian mustard genotypes and reported reduction in disease from 16.1 to 72.6 per cent in different genotypes and highest yield loss of 20.0 to 32.5 per cent and maximum in cultivar Varuna.\unskip~\citet{1190113:22996569} reported maximum average yield loss due to Alternaria brassicae in yellow sarson (27.28\%) followed by brown sarson (25.01\%), Indian mustard (20.28\%), gobhi sarson (17.16) and Brassica carinata (10.72\%), respectively. Different workers have also evaluated the yield loss in rapeseed-mustard crop due to Alternaria brassicae causing blight time to time and reported 35-45 per cent yield loss and even more upto 70\% in different cultivars \unskip~\citep{1190113:22996550,1190113:22996546,1190113:22996555,1190113:22996557}. In the present finding the losses in yield may be due to reduction\ensuremath{^{}}in pod formation or pod size or number of seeds/pods or test weight or in all the parameters collectively. Losses in test weight in each cultivar under unprotected condition support this view. \section{CONCLUSION} In present investigation out of 15 genotypes examined for blight resistance, GSL-5, Pusa Aditya, Sheetal and GSL-2 exhibited good level of partial resistance i.e. moderately resistance. Other 11 varieties RH-749, Pusa gold, Pusa mustard-27, Jhumka, Anuradha, PT-30, PT-303, T-27, KBS-3, TMLC-2 and PM-25 were susceptible based on the mean basis severity (PDI), infection rate and AUDPC. Minimum avoidable loss (\%) was recorded on cultivar GSL-5 (11.09\%) followed by Anuradha (14.36\%), GSL-2 (17.73\%), RH-749 (17.90\%) and Pusa aditya, respectively. The maximum yield avoidable loss (\%) was recorded T-27 (46.67\%) followed by Jhumka (44.53\%), Anuradha (40.00\%), KBS-3 (38.77\%) and Pusa gold (34.13\%), respectively. \section{ACKNOWLEDGEMENT} The author is thankful to Director, Directorate of Rapeseed-Mustard Research, Bharatpur, Rajasthan and Director Research, A.N.D. University of Agriculture \& Technology, Kumarganj, Ayodhya for support to the present research work. \end{multicols}\begin{multicols}{2}{\fontsize{8}{9.6}\selectfont\saythanks\baselineskip=\the\baselineskip plus.2pt minus.2pt \bibliographystyle{sure-apa-custom} \bibliography{\jobname}} \end{multicols} \makeatletter ~\\\vfill \selectfont\textbf{\fontsize{7}{8.4}\selectfont Citation:}\par\vspace*{-4pt} \begin{minipage}[t]{\textwidth}\def\baselinestretch{1} \hangindent=.75cm\fontsize{7}{8.4}\selectfont \citationAuthor.\ \cmYear. \articleCitetitle. \textit{\journalTitle}\ \textbf{\cmVolume}(\cmIssue):\,\@firstPage-\pageref*{LastPage} \end{minipage} \vspace*{5pt} \makeatother \end{document}