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AMMI and GGE biplot analysis of yield performance of wheat genotypes under irrigated, heat stress and heat drought environments Timalsina, Bibisha; Ghimire, Sweksha; Roka, Puja; Poudel, Rashmi; Sapkota, Sushma; Bhattarai, Kriti; Aryal, Anil; Ganesh , G. C.; Neupane, Kapil; Gautam, Pratik; Pariyar, Manoj Kumar; Sharma, Surakshya; Chaudhary, Eishaina; Poudel, Mukti Ram; Bhandari, Radhakrishna
Journal of Agriculture and Applied Biology Vol 4 No 2 (2023): Journal of Agriculture and Applied Biology
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/jaab.04.02.09

Wheat is the third most important cereal crop in Nepal. The impact of global warming is threatening global wheat production and food security. The terminal heat stress reduces the grain quality of wheat. However, the drought is affecting more than 15% of global wheat productivity. To find out the stable and high- yielding wheat genotype the experiment was carried out in Rupandehi, Nepal with twenty genotypes under three different environmental conditions namely heat drought, heat stress and irrigated in an alpha lattice design with two replications in each environment. The AMMI (Additive mean effect multiplicative interaction) biplot analysis shows differences in 20 different genotypes in terms of yield and stability. The analysis of variance model showed the share of GE (genotype and environment) interaction in the variation in grain yield of twenty wheat genotypes. The grain yield of genotype varied significantly with environmental impact (p ). The AMMI stability value (ASV) examined NL1387 as the most stable line. The tested environments were discriminative for genotype and showed negative correlation between them. The GGE biplot analysis was conducted to find out the best performing line under different environments and the stable line in diverse environments. The NL1420 was found stable genotype in all three tested environment. The NL1376 line is most ideal ranking first in the ranking biplot. The mean versus stability model indicated NL1369 and NL1376 as elite genotypes and NL 1404, BL4919 and NL1387 can be recommended as new cultivars.

AMMI and GGE biplot analysis of yield performance of wheat genotypes under irrigated, heat stress and heat drought environments Timalsina, Bibisha; Ghimire, Sweksha; Roka, Puja; Poudel, Rashmi; Sapkota, Sushma; Bhattarai, Kriti; Aryal, Anil; Ganesh , G. C.; Neupane, Kapil; Gautam, Pratik; Pariyar, Manoj Kumar; Sharma, Surakshya; Chaudhary, Eishaina; Poudel, Mukti Ram; Bhandari, Radhakrishna
Journal of Agriculture and Applied Biology Vol 4 No 2 (2023): Journal of Agriculture and Applied Biology
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/jaab.04.02.09

Wheat is the third most important cereal crop in Nepal. The impact of global warming is threatening global wheat production and food security. The terminal heat stress reduces the grain quality of wheat. However, the drought is affecting more than 15% of global wheat productivity. To find out the stable and high- yielding wheat genotype the experiment was carried out in Rupandehi, Nepal with twenty genotypes under three different environmental conditions namely heat drought, heat stress and irrigated in an alpha lattice design with two replications in each environment. The AMMI (Additive mean effect multiplicative interaction) biplot analysis shows differences in 20 different genotypes in terms of yield and stability. The analysis of variance model showed the share of GE (genotype and environment) interaction in the variation in grain yield of twenty wheat genotypes. The grain yield of genotype varied significantly with environmental impact (p ). The AMMI stability value (ASV) examined NL1387 as the most stable line. The tested environments were discriminative for genotype and showed negative correlation between them. The GGE biplot analysis was conducted to find out the best performing line under different environments and the stable line in diverse environments. The NL1420 was found stable genotype in all three tested environment. The NL1376 line is most ideal ranking first in the ranking biplot. The mean versus stability model indicated NL1369 and NL1376 as elite genotypes and NL 1404, BL4919 and NL1387 can be recommended as new cultivars.

Relationship between Wheat Yield and Yield Attributing Character at Late Sowing Condition Jaisi, Sushil; Thapa, Asha; Poudel, Mukti Ram; Gairhe, Hari Prasad; Budathoki, Keshab Kumar; Karki, Binod
Indonesian Journal of Agricultural Research Vol. 4 No. 2 (2021): InJAR, Vol. 4, No. 2, July 2021
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/injar.v4i2.6405

Correlation coefficient and path analysis were computed between yield and yield attributing trait among twenty genotypes of wheat. The research was conducted during winter season of 2020/2021 in the agronomic field of the Institute of Agriculture and Animal Science (IAAS), Bhairahawa, Nepal to identify the traits which influence the positive and negative relation to grain yield. Twenty genotypes of wheat were sown on 24th December 2020 on alpha lattice design with two replications. It has been found that under heat stress, DTB, DTH, DTM, CLC, PH, NGPS show a non-significant positive correlation with GY. Similarly ET shows a highly significant positive correlation to GY. However, SL, SW, TKW have a non-significant negative correlation with GY. In path analysis, DTM and ET have a positive direct effect on GY and DTH, SL, CLC and NGPS have an indirect effect on GY. Hence, the ET and DTM can be used to select wheat genotype for breeding purpose and studies to improve yield of genotypes under heat stress condition.

Evaluation of Yield Attributing Trait of Spring Wheat Genotypes Under Normal and Late Sowing Condition Jaisi, Sushil; Thapa, Asha; Poudel, Mukti Ram
Indonesian Journal of Agricultural Research Vol. 5 No. 1 (2022): InJAR, Vol. 5, No. 1, March 2022
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/injar.v5i01.6504

Wheat (Triticum aestivum) is the third most important cereal crop in Nepal after rice and maize. The research is carried out during the winter season in agronomic field of the Institute of Agriculture and Animal Science (IAAS), Bhairahawa, Nepal. Sowing is carried out 28th November 2020 and 24th December 2020 on alpha lattice design with two replication of twenty wheat genotype under normal and late sowing respectively. In the late sowing condition, all genotype's performance is reduced as compared to normal sowing. Under late sown condition, high temperatures reduced the days to booting (15.64%), days to heading (14.97%), days to maturity (14.16%), chlorophyll content (15.99%), plant height (8.59%), spike length (7.03%), number of spikelet per spike (9.21%), number of grain per spike (10.6%), spike weight (15.32%), effective tiller/m2 (9.92%), thousand kernel weight (10.3%) and grain yield (22.5%). NL 1420 presented higher 4118 kg/ha and 3310.5 kg/ha yield respectively and BL 4407 presented early maturity 119.2 DAS and 100.6 DAS respectively in normal sowing and late sowing condition. In a combined environment, maximum grain yield is recorded in NL1420. The result suggested that the tolerant line against the late sowing condition can be used as genetic resource for crop improvement and promote for grain yield.

Phenotypic Correlation, Path Analysis, and Quantitative Trait-Based Selection of Elite Wheat Genotypes Under Heat Stress Conditions in The Terai Region of Nepal Bhandari, Radhakrishna; Panthi, Binod; Nyaupane, Shivalal; Shrestha, Sandesh; Sharma, Prabin; Gupta, Rajesh Kumar; Sahani, Sansar; Poudel, Mukti Ram
Makara Journal of Science Vol. 28, No. 3
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Wheat is one of the most important cereal crops worldwide, but the production and productivity of wheat is affected by heat stress. A field experiment using an alpha lattice design with seven blocks was conducted on 35 elite wheat genotypes in the Terai region of Nepal to identify the most appropriate trait resulting in a high-yielding wheat genotype with high tolerance to heat stress. Correlation analysis revealed that booting-to-heading duration (BtoH), booting-to-anthesis duration (BtoA), plant height (Ph), spike length (SL), spike weight (SW), thousand grain weight (TGW), straw yield (SY), and total biomass yield (TY) had a significant positive correlation with grain yield (GY), whereas days to booting (DTB), days to heading (DTH), and days to anthesis (DTA) had significant negative correlations with GY (p ≤ 0.05). Path analysis revealed that DTB and DTA had a direct negative effect on the GY, whereas DTH had an indirect negative effect on yield via DTB. BtoA, Ph, SL, SW, and TGW had direct positive effects on yield, whereas BtoH had an indirect positive effect on yield via DTB. Principal component analysis demonstrated that high-yielding genotypes can be selected using DTB, DTH, DTA, BtoH, BtoA, and Ph. Taller and earlier genotype with long BtoH and BtoA would produce high yield under heat stress.

Phenological and Morphological Analysis of Elite Wheat [Triticum aestivum L.] Genotypes under Normal Irrigated Conditions Panthi, Binod; Kunwar, Priyanka; Poudel, Mukti Ram
AGRIVITA Journal of Agricultural Science Vol 47, No 2 (2025)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v47i2.4480

Phenological and morphological traits, environmental conditions, and management practices influence the grain yield of bread wheat. Twenty elite wheat genotypes were evaluated under irrigated conditions using an alpha lattice design with two replications at IAAS, Paklihawa, Nepal, in 2021–2022 to identify key yield-attributing traits. Among 11 phenological and morphological traits, days to booting (DTB), plant height (Ph), spike length (SL), and number of spikelets per spike (NSPS) showed high heritability and genetic advance. Phenotypic correlation revealed significant (P<0.01) negative associations of grain yield (GY) with DTB (-0.434), days to heading (DTH, -0.411), and Ph (-0.411). Principal component and biplot analyses highlighted DTB, DTH, days to anthesis (DTA), and Ph as key traits negatively correlated with GY. Path analysis demonstrated a direct negative effect of DTB (-0.745) and Ph (-0.336) on GY, while DTH (0.131) and DTA (0.104) had positive effects, offset by DTB’s indirect influence. Thus, early booting and shorter plant height are recommended for achieving high yields. Cluster analysis grouped genotypes into five clusters, with cluster 2 (BL 4407, BL 4919, NL 1346) and cluster 5 (NL 1350) identified as promising candidates for developing dwarf and earlybooting varieties in irrigation-based breeding programs respectively.

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