GxE evaluation of salinity tolerant barley genotypes by AMMI model

Verma, R. P. S.; Kharab, A.S.; Kumar, Vikas; Verma, Ajay

doi:10.18805/asd.v36i3.11444

Cited by 5 publications

(6 citation statements)

References 9 publications

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“…Genotypes may be included in further breeding studies based on their proximity to ideal genotype. The genotypes which are too far from the ideal are excluded from breeding studies at the beginning (Verma et al, 2016). The present results were in agreement with the results of Shabana et al (2007) and Ashango et al (2016).…”

Section: Resultssupporting

confidence: 93%

Genotype x environment interaction of some dry bean (Phaseolus vulgaris L.) genotypes

Sözen

Karadavut

Özçelik

et al. 2017

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Beans are grown in different environments. The most important issue in bean agriculture is to increase seed yield as expected in other plants. As well reported so far, environmental factors such as rain, heat, their timing and topography affect yield and yield quality in dry beans. So, this study was conducted in 2011-2015 in Samsun (Ambarkopru and Gelemen) and Kirsehir (Mucur and Cogun) locations in order to investigate the effects of the environmental factors on dry bean. For this aim, 20 dry bean genotypes (7 cultivars and 13 pure lines) were used as plant materials. Results showed that G5, G11 and G15 genotypes were close to ideal genotypes. When the year was considered as the environmental factor, the ideal production year was in 2013 with respect to yield and yield quality, concluding that climate changes between years affected yield parameters in dry bean genotypes.

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Section: Resultssupporting

confidence: 93%

Genotype x environment interaction of some dry bean (Phaseolus vulgaris L.) genotypes

Sözen

Karadavut

Özçelik

et al. 2017

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“…AMMI analysis and G×E biplots are popular methods plant breeding researchers employ to assess the stability and adaptability of genotypes and to select genotypes that perform well across different environments. Several studies have used AMMI analysis and G×E biplots to choose stable genotypes in various crops, such as, cotton (Farias et al, 2016), chickpea (Erdemci, 2018), barley (Kendal and Dogan, 2015;Verma et al, 2016;Solonechnyi et al, 2018), okra (Alake and Ariyo, 2012), rice (Devi et al, 2020), peanut (de Oliveira and de Godoy, 2006), and rapeseed (Sara et al, 2019). These studies have identified durable genotypes that perform well across diverse surroundings and receive The genotypes that exhibit proximity to the origin (x and y coordinates), classified as more stable, indicated their similarity in yield performance across different environments (Figure 4A).…”

Section: Ammi Biplot Analysis On Wheat Grain Yieldmentioning

confidence: 99%

Selection of Stable Wheat Genotypes Under Different Agro-Ecological Zones of Punjab, Pakistan

KASHIF

2023

SABRAOJBG

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Wheat is a globally significant cereal crop crucial for ensuring food security. Plant breeders strive to enhance yield potential by developing optimized and stable genotypes. In Pakistan, an agricultural country facing food security challenges, annual multi-environment trials (MET)’s systematic conduct transpire across various research stations in Punjab province. Precise data analysis of these trials is paramount in strengthening the national agricultural research system. The primary objective of this study was to identify stable wheat genotypes by analyzing data from MET trials in 31 distinct environments within the Punjab province during 2020–2021. The study comprised 50 wheat genotypes laid out under an alpha lattice design. The collected data underwent an analysis based on additive main effects and multiplicative interaction (AMMI) in combination with other stability measures. The findings revealed that genotype G41 (HYT100-27) exhibited superior performance, ranking within the top five across all five stability measures. Likewise, G27 (TWS17042) and G22 (HYT100-100) genotypes have four stability measures recommending these. Notably, G1 (HYT100-74) demonstrated the highest average yield across all locations and gained support from two additional stability measures. Therefore, G41, G27, G22, and G1 emerged as the most stable and productive genotypes among all those studied. Regarding the environments, MLSI proved the most desirable, followed by RARL. Conversely, the ARFG and ARFK resulted as the least ideal environments.

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“…The crop was mainly utilized for feed and food purposes but with shifting towards urbanization and adoption of western culture has led its utilization more for industrial purposes (Meints and Hayes, 2019, Kumar et al, 2023, Patial et al, 2023. Barley is also known as poor man's crop with low input requirement, well buffering capacity under harsh environmental conditions, salinity tolerance and with many positive health effects (Verma et al, 2016, Meng et al, 2023. It has high nutritive value coupled with high soluble fiber concentration of β-glucan, helpful in lowering risk of cardio-vascular diseases, hyperlipidaemia and blood cholesterol as compared to other cereal grain crops (De Paula et al, 2017, Kumar et al, 2018a.…”

Section: Introductionmentioning

confidence: 99%

Heterosis and Diallel Analysis for Grain Yield, Yield Attributes and Physiological Traits in Barley (Hordeum vulgare L.)

Patel,

Kumar,

Saini

et al. 2024

IJBSM

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The present study was carried out during November–April, 2019–2020 and 2020–21 with eight diverse barley genotypes and their developed 28F1s (half diallel, excluding reciprocals) to ascertain gene effects, hetrosis and correlations for grain yield, yield attributes and physiological traits under water limited conditions of Bundelkhand region. Days to heading and days to maturity exhibited general mean values of 86 days and 127 days, respectively. The parental genotypes, DWRB180, RD2794 and RD2899 showed early spike emergence and maturity. The cross combinations, namely DWRB160 /DWRB180, DWRB180/RD2907 and BH946/RD2552 were promising for flag leaf length and width. The GCA effects were significant and prevalent for all the characters, except days to heading, plant height and tillers count. The parents, DWRB160 (5.29**) and BH902 (1.59**) depicted high GCA effects for 1000 grain weight. The parents, DWRB180, RD2552, and BH946 exhibited significant positive GCA effects for leaf area index and chlorophyll fluorescence, whereas the genotypes, RD2907, BH946 and RD2899 showed higher GCA effects for chlorophyll content. Grain yield exhibited significant positive correlations with flag leaf width (0.60**), tillers per meter (0.35*), grains per spike (0.39*), harvest index (0.53**), chlorophyll content (0.69**), leaf area index (0.49**) and chlorophyll fluorescence (0.68**). The parents, BH946, DWRB180 and RD2907 and the hybrids, RD2552/DWRB180, BH902/RD2794, DWRB160/DWRB180 and BH946/RD2907 were found promising for yield and yield attributes in the dry agro-ecology of Bundelkhand region. The crosses, DWRB160/BH902 and DWRB160/BH946 can be explored for developing superior segregants for malt barley breeding.

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GxE evaluation of salinity tolerant barley genotypes by AMMI model

Cited by 5 publications

References 9 publications

Genotype x environment interaction of some dry bean (Phaseolus vulgaris L.) genotypes

Genotype x environment interaction of some dry bean (Phaseolus vulgaris L.) genotypes

Selection of Stable Wheat Genotypes Under Different Agro-Ecological Zones of Punjab, Pakistan

Heterosis and Diallel Analysis for Grain Yield, Yield Attributes and Physiological Traits in Barley (Hordeum vulgare L.)

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