Evaluation of Soybean genotypes for yield and other economically important traits under rainfed condition

Jan, Sohail Ahmad; Khan, Noor

doi:10.19045/bspab.2018.70001

Cited by 10 publications

(8 citation statements)

References 7 publications

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“…This will be conducted in a further study. However, the findings were in agreement with previously reported studies where the year effect can substantially impact plant height, maturity, seed weight, and yield in soybean (Baig et al 2018;Dalló et al 2019;Jiang et al 2018;Kato et al 2018;Wiggins et al 2019). In this report, seed weight was negatively correlated with plant height.…”

Section: Discussionsupporting

confidence: 93%

Genome-wide association study and genomic selection for plant height, maturity, seed weight, and yield in soybean

Ravelombola

Qin²,

Shi

et al. 2019

Preprint

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Background Soybean [ Glycine max (L.) Merr.] is a legume of great interest worldwide. Enhancing genetic gain for agronomic traits via molecular approaches has been long considered as the main task for soybean breeders and geneticists. The objectives of this study were to evaluate maturity, plant height, seed weight, and yield in a diverse soybean accession panel, to conduct a genome-wide association study (GWAS) for these traits and identify SNP markers associated with the four traits, and to assess genomic selection (GS) accuracy. Results A total of 250 soybean accessions were evaluated for maturity, plant height, seed weight, and yield over three years. This panel was genotyped with a total of 10,259 high quality SNPs postulated from genotyping by sequencing (GBS). GWAS was performed using a Bayesian Information and Linkage Disequilibrium Iteratively Nested Keyway (BLINK) model, and GS was evaluated using a ridge regression best linear unbiased predictor (rrBLUP) model. The results revealed that a total of 20, 31, 37, 31, and 23 SNPs were significantly associated with the average 3-year data for maturity, plant height, seed weight, and yield, respectively; some significant SNPs were mapped into previously described loci ( E2 , E4 , and Dt1 ) affecting maturity and plant height in soybean and a new locus mapped on chromosome 20 was significantly associated with plant height; Glyma.10g228900 , Glyma.19g200800 , Glyma.09g196700 , and Glyma.09g038300 were candidate genes found in the vicinity of the top or the second best SNP for maturity, plant height, seed weight, and yield, respectively; a 11.5-Mb region of chromosome 10 was associated with both seed weight and yield; and GS accuracy was trait-, year-, and population structure-dependent. Conclusions The SNP markers identified from this study for plant height, maturity, seed weight and yield can be used to improve the four agronomic traits through marker-assisted selection (MAS) and GS in soybean breeding programs. After validation, the candidate genes can be transferred to new cultivars using SNP markers through MAS. The high GS accuracy has confirmed that the four agronomic traits can be selected in molecular breeding through GS.

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Section: Discussionsupporting

confidence: 93%

Genome-wide association study and genomic selection for plant height, maturity, seed weight, and yield in soybean

Ravelombola

Qin²,

Shi

et al. 2019

Preprint

View full text Add to dashboard Cite

show abstract

“…This will be conducted in a further study. However, the ndings were in agreement with previously reported studies where the year effect can substantially impact plant height, maturity, seed weight, and yield in soybean [22][23][24][25][26]. In this report, seed weight was negatively correlated with plant height.…”

Section: Discussionsupporting

confidence: 93%

Genome-wide association study and genomic selection for plant height, maturity, seed weight, and yield in soybean

Ravelombola¹,

Qin²,

Shi³

et al. 2020

Preprint

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BackgroundSoybean [Glycine max (L.) Merr.] is a legume of great interest worldwide. Enhancing genetic gain for agronomic traits via molecular approaches has been long considered as the main task for soybean breeders and geneticists. The objectives of this study were to conduct a genome-wide association study (GWAS) for these traits and identify SNP markers associated with the four traits, and to assess genomic selection (GS) accuracy.Results A total of 250 soybean accessions were evaluated for maturity, plant height, seed weight, and yield over three years. This panel was genotyped with a total of 10,259 high quality SNPs postulated from genotyping by sequencing (GBS). Population structure was inferred using STRUCTURE 2.3.4, GWAS was performed using a Bayesian Information and Linkage Disequilibrium Iteratively Nested Keyway (BLINK) model, and GS was evaluated using a ridge regression best linear unbiased predictor (rrBLUP) model. The results revealed that: a total of 20, 31, 37, 31, and 23 SNPs were significantly associated with the average 3-year data for maturity, plant height, seed weight, and yield, respectively; some significant SNPs were mapped into previously described loci (E2, E4, and Dt1) affecting maturity and plant height in soybean and a new locus mapped on chromosome 20 was significantly associated with plant height; Glyma.10g228900, Glyma.19g200800, Glyma.09g196700, and Glyma.09g038300 were candidate genes found in the vicinity of the top or the second best SNP (if no annotated genes found close the top one) for maturity, plant height, seed weight, and yield, respectively; a 11.5-Mb region of chromosome 10 was associated with both seed weight and yield; and GS accuracy was trait-, year-, and population structure-dependent.Conclusions The SNP markers identified from this study for plant height, maturity, seed weight and yield can be used to improve the four agronomic traits in soybean through marker-assisted selection (MAS) and GS in breeding programs. After validation, the candidate genes can be transferred to new cultivars using the linked SNP markers through MAS. The high GS accuracy has confirmed that the four agronomic traits can be selected in molecular breeding through GS.

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“…These findings suggested different genetic backgrounds among the 24 soybean genotypes studied for days to flowering. Baig et al (2018) also claimed that different plant genotypes have significant impact on days to flowering.…”

Section: Variability For Days To Flowering and Days To Maturitymentioning

confidence: 99%

Evaluation of medium maturity group of soybean (Glycine max L. Merr) for agronomic performance and adaptation in Sudanian zone of Burkina Faso

Ibié¹,

Ouédraogo²,

Drabo³

et al. 2022

Afr. J. Agric. Res.

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Soybean is an economically important crop that provides oil and high-quality protein. In Burkina Faso, soybean is one of the promising crops identified in the framework of the strategy for the development of agricultural sectors. However, very few improved varieties have been developed. The identification of newly improved varieties with high agronomic potential and adapted to the climatic conditions will strengthen soybean production in the country. The objective of this study was to evaluate the agronomic performance of 24 soybean genotypes at the Farako-Bâ Research Station in the Sudanian zone of Burkina Faso. The experimental design was an alpha lattice arranged in a 50 cm × 5 cm with 3 replications. The results of this research revealed significant differences (p <0.05) among genotypes with reference to days to flowering, days to maturity, number of nodules, plant height, pod clearance, number of pods, pod shattering, hundred seed weight and number of nodes. Nodules score and diameter, number of branches and grain yield were non-significant. Based on agronomical traits, three genotype groups were clustered. Clusters 1 consisted of the high grain yield groups with the genotypes TGX2017-5E (2083.33 kg/ha), TGX1993-4FN (1666.67 kg/ha), TGX2017-6E (1666.67 kg/ha) and TGX2016-4E (1583.33 kg/ha), being the highest yielding.

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Evaluation of Soybean genotypes for yield and other economically important traits under rainfed condition

Cited by 10 publications

References 7 publications

Genome-wide association study and genomic selection for plant height, maturity, seed weight, and yield in soybean

Genome-wide association study and genomic selection for plant height, maturity, seed weight, and yield in soybean

Genome-wide association study and genomic selection for plant height, maturity, seed weight, and yield in soybean

Evaluation of medium maturity group of soybean (Glycine max L. Merr) for agronomic performance and adaptation in Sudanian zone of Burkina Faso

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