Genetic variability, Genotype × Environment interaction for grain yield of wheat (Triticum aestivum) backcross inbred lines population under different moisture regimes

Shashikumara, P.; Harikrishna, Harikrishna; Jain, Neelu; Sinha, Nivedita; Chauhan, Divya; Phuke, Rahul M; Ambati, Divya; Singh, Jagdish; Prasad, SV Sai; Singh, Gyanendra; Prabhu, K. V.; Singh, Praveen

doi:10.56093/ijas.v90i9.106595

Cited by 4 publications

(1 citation statement)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Among the most recent methodologies, there are 2 main types: Additive Main Effect and Multiplicative Interaction (AMMI) model and the GGE biplot analysis, which have been observed and reported to accurately capture the majority of sum-of-squares interactions, isolate major and interacting components and facilitate visualization of genotypic fitness in various environments (Kumara et al, 2020). The GGE biplot has the advantage of higher discriminative ability and representativeness of the GGE biplot than the AMMI biplot (Singh et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the grain yield performance of 5 soybean genotypes in Mozambique using the GGE Biplot method

Constantino¹,

Leonel²,

Manuel³

et al. 2023

Afr. J. Biotechnol.

View full text Add to dashboard Cite

Soybean is a peculiar crop due to its photoperiod sensitivity. The introduction of this crop to a new production region requires a detailed study of its adaptability to select the best genotypes with high production stability for the region. In Mozambique, the demand for soybean grain has been growing. However, national production is low due to little knowledge of the performance of genotypes. The objective of this study is to evaluate the grain yield of 5 soybean genotypes and evaluate genotype-byenvironment (GxE) interactions by the GGE biplot method. The trials were performed at the stations of Namapa (District of Eráti, province of Nampula), Ribáuè (District of Ribáuè, Province of Nampula), and Montepuez (District of Montepuez, Province of Cabo Delgado) in 3 seasons from 2017 to 2020. A randomized complete block design was adopted with 4 replications and 5 treatments: Wima, Wámini, 10E, Safari, and Zamboane cultivars. The results of the joint analysis of variance (p<0.05) showed a complex GxE. According to the GGE biplot method, the 10E genotype was the ideotype. Wámini was the worst genotype. PC1 was 89.64 and PC2 was 8.26. Thus the GGE biplot methodology proved to be efficient since the sum of the first two principal components (PCs) was 98.26%.

show abstract

Section: Introductionmentioning

confidence: 99%

Evaluation of the grain yield performance of 5 soybean genotypes in Mozambique using the GGE Biplot method

Constantino¹,

Leonel²,

Manuel³

et al. 2023

Afr. J. Biotechnol.

View full text Add to dashboard Cite

show abstract

Heat Stress in Wheat: Adaptation Strategies

Shashikumara¹,

Gajghate²,

Devate³

et al. 2022

Thermotolerance in Crop Plants

View full text Add to dashboard Cite

Development of bread wheat (Triticum aestivum L) variety HD3411 following marker-assisted backcross breeding for drought tolerance

Kumar

Bellundagi²,

Krishna³

et al. 2023

Front. Genet.

Self Cite

View full text Add to dashboard Cite

Marker-assisted backcross breeding enables selective insertion of targeted traits into the genome to improve yield, quality, and stress resistance in wheat. In the current investigation, we transferred four drought tolerance quantitative trait loci (QTLs) controlling traits, viz canopy temperature, normalized difference vegetative index, chlorophyll content, and grain yield from the drought-tolerant donor line, C306, into a popular high-yielding, drought-sensitive variety, HD2733. Marker-assisted selection coupled with stringent phenotypic screening was used to advance each generation. This study resulted in 23 improved lines carrying combinations of four drought tolerance QTLs with a range of 85.35%–95.79% background recovery. The backcross-derived lines gave a higher yield under moisture-deficit stress conditions compared with the recipient parent. They also showed higher phenotypic mean values for physiological traits and stability characteristics of HD2733. A promising genotype, HD3411, derived from this cross was identified for release after national multi-location coordinating trials under the All India Coordinated Wheat Improvement Project. Our study is a prime example of the advantages of precision breeding using integrating markers and phenotypic selection to develop new cultivars with desirable traits like drought tolerance.

show abstract

Genetic variability, Genotype × Environment interaction for grain yield of wheat (Triticum aestivum) backcross inbred lines population under different moisture regimes

Cited by 4 publications

References 25 publications

Evaluation of the grain yield performance of 5 soybean genotypes in Mozambique using the GGE Biplot method

Evaluation of the grain yield performance of 5 soybean genotypes in Mozambique using the GGE Biplot method

Heat Stress in Wheat: Adaptation Strategies

Development of bread wheat (Triticum aestivum L) variety HD3411 following marker-assisted backcross breeding for drought tolerance

Contact Info

Product

Resources

About