Yield stability of rapeseed genotypes under drought stress conditions

Sara, Mehdipour; Abbas, R. S.; Azizinezhad, Reza; Alireza, Etminan

doi:10.31742/ijgpb.79.1.6

Cited by 6 publications

(7 citation statements)

References 11 publications

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“…These genotypes were more stable as also confirmed by Eberhart and Russel Model (1966). Stable genotypes were identified through this model in different crops under diverse environments earlier by several researchers (Namorato et al 2009;Sara et al 2019). From the present study, it was concluded that sufficient amount of genetic variability was present among the genotypes, environment, G x E, environment linear and pooled deviation.…”

Section: Authors' Contributionsupporting

confidence: 63%

Genotype x environments interactions for grain yield and its components in urdbean (Vigna mungo L Wilczek) under rainfed conditions of Jammu region

Kumar¹,

Sharma²,

Kumar³

et al. 2020

IJGPB

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In the present study, AMMI approaches were used to analyse the genotype x environment interactions and stability under targeted environments. The analysis of stability parameters of seed yield/plant in 25 genotypes of urdbean (Vigna mungo L,) indicated that six genotypes namely, Mash 479, PLU 499-52, PU19, PLU-4158, Pant 31 and IPU2-43 showed regression coefficient greater than unity (b-1) with non-significant S2di values and higher mean values than population mean which exhibited their stability and adaptation to specific favorable environment only. Three genotypes, PU99, No. 13/11 and No.40 indicated that regression coefficient less than unity with higher mean values than population mean with non-significant deviation from the regression coefficient (S2di) and recommended for unfavorable environments. Mash 338 and IPU 96-1 are the most stable genotypes across the environments for seed yield/plant and 1000 seed weight, respectively. Environmental indices indicated that environment (E1) and environment (E2) were the most favorable for number of primary branches/plants, days to 50% flowering, plant height and seed yield/plant, whereas environment (E3) was favorable for pod length and number of seeds/pod. AMMI 1 model exhibited that E1 and E2 were the clustered in the same group and exhibited similar type of interaction for seed yield/plant. Genotypes, PLU4158, IPU96-1, Mash479, PLU499-52 and IPU2-43 exhibited high IPCA 1 scores along with high population mean. Based on AMMI 2 model, PLU4158, IPU96-1 and IPU96-6 exhibited high IPCA scores. The selected genotypes may be utilized in Vigna mungo improvement programme in targeted location with true type of breeding lines.

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Section: Authors' Contributionsupporting

confidence: 63%

Genotype x environments interactions for grain yield and its components in urdbean (Vigna mungo L Wilczek) under rainfed conditions of Jammu region

Kumar¹,

Sharma²,

Kumar³

et al. 2020

IJGPB

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“…(Anonymous 2018). Himachal Pradesh May, 2020] AMMI biplot analysis for grain yield of basmati lines 141 identification of high yielding genotype(s), both yield and stability must be considered simultaneously (Sara et al 2019). To estimate the level of interaction of genotypes to environments and to eliminate as much as possible the unexplainable and extraneous variability contained in the data, several statistical techniques have been developed to describe G x E interaction and measure the stability of genotypes.…”

Section: Introductionmentioning

confidence: 99%

AMMI biplot analysis for grain yield of basmati lines (Oryza sativa L.) in North Western Himalayan Hill regions

Dwivedi¹,

Basandrai²,

Sarial³

2020

IJGPB

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Thirty basmati and non-basmati rice genotypes were evaluated in five different locations representing varied agroclimatic zones in Himachal Pradesh during kharif 2017 and 2018 for stability of grain yield. Additive main effect and multiplicative interaction and stability model were employed to study the GxE interaction. ANOVA revealed significant differences among genotypes and locations along with significant G × E interaction. Both linear and non-linear components contributed towards G × E interaction. The mean grain yield per plant varied from 11.32-19.49 g among the genotypes with the general mean of 15.83g. Genotype HPR 2693 was identified to have higher mean grain yield per plant than general mean and was stable across the locations. AMMI analysis revealed that the first two significant IPCA scores together explained 77.18% of the total interaction variance. Biplot graphical analysis showed Dhaulakuan to be the less interacting and stable location. Genotype HPR 2693 scored zero for both IPCA1, IPCA2 and also lowest ASV score along with higher average grain yield per plant and therefore could be considered as stable across locations. Pusa-1121, one of the highly prized basmati was also found stable but the average yield per plant over all the location was low and hence could be identified for specific location. Genotypes HPR 2863, HPR 2612, HPR 2667, PB-1509, HPR 2858 showed specific adaptation to Malan while HPR 2761, HPR 2749, HPR 2746, HPR 2720, HPR 2862 and HPR 2880 exhibited specific adaptation at Palampur. These genotypes could be utilized for direct cultivation as well as for improvements of other cultivars.

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“…Morais et al [10] reported in the experiments in 3 environments only IPCA1 that was significant with the contribution of 72.88%. Sara et al [19] reported that in 9 environments experiments they found four IPCA with accumulation contribution of 92.2%.…”

Section: Resultsmentioning

confidence: 96%

AMMI stability for starch yield of cassava in the acid area for determining clones’ stability

Sholihin¹

2021

E3S Web Conf.

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The study aimed to evaluate the phenotypic stability of cassava promising clones’ cassava clones in acidic regions based on AMMI stability. The study was done during 2015-2018 in several environments in Lampung. The study was done using a randomized complete block design with three replications. Plants were planted in 5 m x 4.8 m plot size, with 1 m distance between rows and 0.8 m within row. The plants were fertilized with 93 kg N, 36 kg P2O5 and 60 kg K2O per hectare. Seven cassava promising clones and two check varieties were used in this study. Data were analyzed using Excel, MSTAT-C and PBTOOLs. Research showed that compared with clone PC2, PC3, PC5 and clone PC7, clone PC1, PC4, PC6, UJ3 and clone UJ5 are more stable. According to the AMMI analysis, based on the seven-month starch yield, the important environmental factors that determined the stability of cassava clones are the content of N and P2O5 in the upper soil layer and the cation exchange capacity ground. The starch yield in seven months of PC4 was the highest among the clones. Clone PC4 is potential to be developed in acid area.

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Yield stability of rapeseed genotypes under drought stress conditions

Cited by 6 publications

References 11 publications

Genotype x environments interactions for grain yield and its components in urdbean (Vigna mungo L Wilczek) under rainfed conditions of Jammu region

Genotype x environments interactions for grain yield and its components in urdbean (Vigna mungo L Wilczek) under rainfed conditions of Jammu region

AMMI biplot analysis for grain yield of basmati lines (Oryza sativa L.) in North Western Himalayan Hill regions

AMMI stability for starch yield of cassava in the acid area for determining clones’ stability

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