scholarly journals Genetic Correlation Between Fe and Zn Biofortification and Yield Components in a Common Bean (Phaseolus vulgaris L.)

2022 ◽  
Vol 12 ◽  
Author(s):  
Santiago Diaz ◽  
Jose Polania ◽  
Daniel Ariza-Suarez ◽  
Cesar Cajiao ◽  
Miguel Grajales ◽  
...  
Keyword(s):  
Phaseolus Vulgaris ◽  
Common Bean ◽  
Yield Components ◽  
Harvest Index ◽  
Association Studies ◽  
Phenotypic Correlation ◽  
Human Consumption ◽  
Genome Wide Association Studies ◽  
New Cultivars ◽  
Pod Harvest Index

Common bean (Phaseolus vulgaris L.) is the most important legume for direct human consumption worldwide. It is a rich and relatively inexpensive source of proteins and micronutrients, especially iron and zinc. Bean is a target for biofortification to develop new cultivars with high Fe/Zn levels that help to ameliorate malnutrition mainly in developing countries. A strong negative phenotypic correlation between Fe/Zn concentration and yield is usually reported, posing a significant challenge for breeders. The objective of this study was to investigate the genetic relationship between Fe/Zn. We used Quantitative Trait Loci (QTLs) mapping and Genome-Wide Association Studies (GWAS) analysis in three bi-parental populations that included biofortified parents, identifying genomic regions associated with yield and micromineral accumulation. Significant negative correlations were observed between agronomic traits (pod harvest index, PHI; pod number, PdN; seed number, SdN; 100 seed weight, 100SdW; and seed per pod, Sd/Pd) and micronutrient concentration traits (SdFe and SdZn), especially between pod harvest index (PHI) and SdFe and SdZn. PHI presented a higher correlation with SdN than PdN. Seventy-nine QTLs were identified for the three populations: 14 for SdFe, 12 for SdZn, 13 for PHI, 11 for SdN, 14 for PdN, 6 for 100SdW, and 9 for Sd/Pd. Twenty-three hotspot regions were identified in which several QTLs were co-located, of which 13 hotpots displayed QTL of opposite effect for yield components and Fe/Zn accumulation. In contrast, eight QTLs for SdFe and six QTLs for SdZn were observed that segregated independently of QTL of yield components. The selection of these QTLs will enable enhanced levels of Fe/Zn and will not affect the yield performance of new cultivars focused on biofortification.

Genome-wide association studies of Ca and Mn in the seeds of the common bean (Phaseolus vulgaris L.)

Genomics ◽  
2020 ◽  
Vol 112 (6) ◽  
pp. 4536-4546
Author(s):  
Semih Erdogmus ◽  
Duygu Ates ◽  
Seda Nemli ◽  
Bulent Yagmur ◽  
Tansel Kaygisiz Asciogul ◽  
...  
Keyword(s):  
Phaseolus Vulgaris ◽  
Common Bean ◽  
Association Studies ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Phaseolus Vulgaris L ◽  
Genome Wide ◽  
The Common

scholarly journals Genome-Wide Association Studies of Anthracnose and Angular Leaf Spot Resistance in Common Bean (Phaseolus vulgaris L.)

PLoS ONE ◽  
2016 ◽  
Vol 11 (3) ◽  
pp. e0150506 ◽  
Author(s):  
Juliana Morini Küpper Cardoso Perseguini ◽  
Paula Rodrigues Oblessuc ◽  
João Ricardo Bachega Feijó Rosa ◽  
Kleber Alves Gomes ◽  
Alisson Fernando Chiorato ◽  
...  
Keyword(s):  
Phaseolus Vulgaris ◽  
Common Bean ◽  
Leaf Spot ◽  
Association Studies ◽  
Angular Leaf Spot ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Phaseolus Vulgaris L ◽  
Genome Wide

scholarly journals Drought sensitivity of leaflet growth, biomass accumulation, and resource partitioning predicts yield in common bean

2019 ◽  
Author(s):  
Amber Hageman ◽  
Milan O. Urban ◽  
Elizabeth Van Volkenburgh
Keyword(s):  
Phaseolus Vulgaris ◽  
Common Bean ◽  
Biomass Production ◽  
Seed Yield ◽  
Growth Rates ◽  
Resource Partitioning ◽  
Harvest Index ◽  
Biomass Accumulation ◽  
Pod Growth ◽  
Pod Harvest Index

ABSTRACTWhile drought limits yield largely by its impact on photosynthesis and therefore biomass accumulation, biomass is not the strongest predictor of yield under drought. Instead, resource partitioning efficiency, measured by how much total pod weight is contained in seeds at maturity (Pod Harvest Index), is the stronger correlate in Phaseolus vulgaris. Using 20 field-grown genotypes, we expanded on this finding by pairing yield and resource partitioning data with growth rates of leaflets and pods. We hypothesized that genotypes which decreased partitioning and yield most under drought would also have strongest decreases in growth rates. We found that while neither leaflet nor pod growth rates correlated with seed yield or partitioning, impacts to leaflet growth rates under drought correlate with impacts to yield and partitioning. As expected, biomass production correlated with yield, yet correlations between the decreases to these two traits under drought were even stronger. This suggests that while biomass contributes to yield, biomass sensitivity to drought is a stronger predictor. Lastly, under drought, genotypes may achieve similar canopy biomass yet different yields, which can be explained by higher or lower partitioning efficiencies. Our findings suggest that inherent sensitivity to drought may be used as a predictor of yield.HIGHLIGHTIn common bean, higher biomass accumulation under drought alone does not guarantee higher yield, as maintenance of higher growth rates and partitioning processes act as an additional requirement.

scholarly journals Genome-wide association study reveals candidate genes for flowering time in cowpea (Vigna unguiculata [L.] Walp)

2021 ◽  
Author(s):  
Dev Paudel ◽  
Rocheteau Dareus ◽  
Julia Rosenwald ◽  
Maria Munoz-Amatriain ◽  
Esteban Rios
Keyword(s):  
Flowering Time ◽  
Candidate Genes ◽  
Vigna Unguiculata ◽  
Association Studies ◽  
Snp Markers ◽  
Genome Wide Association ◽  
Human Consumption ◽  
Phenotypic Variance ◽  
Genome Wide Association Studies ◽  
Genome Wide

Cowpea (Vigna unguiculata [L.] Walp., diploid, 2n = 22) is a major crop used as a protein source for human consumption as well as a quality feed for livestock. It is drought and heat tolerant and has been bred to develop varieties that are resilient to changing climates. Plant adaptation to new climates and their yield are strongly affected by flowering time. Therefore, understanding the genetic basis of flowering time is critical to advance cowpea breeding. The aim of this study was to perform genome-wide association studies (GWAS) to identify marker trait associations for flowering time in cowpea using single nucleotide polymorphism (SNP) markers. A total of 367 accessions from a cowpea mini-core collection were evaluated in Ft. Collins, CO in 2019 and 2020, and 292 accessions were evaluated in Citra, FL in 2018. These accessions were genotyped using the Cowpea iSelect Consortium Array that contained 51,128 SNPs. GWAS revealed seven reliable SNPs for flowering time that explained 8-12% of the phenotypic variance. Candidate genes including FT, GI, CRY2, LSH3, UGT87A2, LIF2, and HTA9 that are associated with flowering time were identified for the significant SNP markers. Further efforts to validate these loci will help to understand their role in flowering time in cowpea, and it could facilitate the transfer of some of this knowledge to other closely related legume species.

Effect of Seedbed Type on Yield and Yield Components of Common bean (Phaseolus vulgaris L.) Commercial Cultivars

2006 ◽  
Vol 5 (4) ◽  
pp. 583-588 ◽  
Author(s):  
Loth S. Mulungu ◽  
Akwilin J.P. Tarim ◽  
Shazia O.W.M. Reuben . ◽  
Daniel N. Lema . ◽  
Rhodes H. Makundi . ◽  
...  
Keyword(s):  
Phaseolus Vulgaris ◽  
Common Bean ◽  
Yield Components ◽  
Phaseolus Vulgaris L ◽  
Commercial Cultivars ◽  
Yield And Yield Components

scholarly journals Evidence for genotypic differences among elite lines of common bean in the ability to remobilize photosynthate to increase yield under drought

2016 ◽  
Vol 155 (6) ◽  
pp. 857-875 ◽  
Author(s):  
I. M. RAO ◽  
S. E. BEEBE ◽  
J. POLANIA ◽  
M. GRAJALES ◽  
C. CAJIAO ◽  
...  
Keyword(s):  
Drought Stress ◽  
Grain Yield ◽  
Common Bean ◽  
Harvest Index ◽  
Genotypic Differences ◽  
Area Index ◽  
Wild Bean ◽  
Terminal Drought ◽  
Terminal Drought Stress ◽  
Pod Harvest Index

SUMMARYCommon bean (Phaseolus vulgaris L.) is the most important food legume for human consumption. Drought stress is the major abiotic stress limitation of bean yields in smallholder farming systems worldwide. The current work aimed to determine the role of enhanced photosynthate mobilization to improve adaptation to intermittent and terminal drought stress and to identify a few key adaptive traits that can be used for developing drought-resistant genotypes. Field studies were conducted over three seasons at Centro Internacional de Agricultura Tropical, Palmira, Colombia to determine genotypic differences in adaptation to intermittent (two seasons) and terminal (one season) drought stress compared with irrigated conditions. A set of 36 genotypes, including 33 common bean, two wild bean and one cowpea were evaluated using a 6 × 6 lattice design under irrigated and rainfed field conditions. Three common bean elite lines (NCB 226, SEN 56, SER 125) were identified with superior levels of adaptation to both intermittent and terminal drought stress conditions. The greater performance of these lines under drought stress was associated with their ability to remobilize photosynthate to increase grain yield based on higher values of harvest index, pod harvest index, leaf area index and canopy biomass. Two wild bean germplasm accessions (G 19902, G 24390) showed very poor adaptation to both types of drought stress. One small-seeded black line (NCB 226) was superior in combining greater values of canopy biomass with greater ability to mobilize photosynthates to grain under both types of drought stress. Two small-seeded red lines (SER 78, SER 125) seem to combine the desirable traits of enhanced mobilization of photosynthates to seed with effective use of water through canopy cooling under terminal drought stress. Pod harvest index showed significant positive association with grain yield under both types of drought stress and this trait can be used by breeders as an additional selection method to grain yield in evaluation of breeding populations for both types of drought stress.

scholarly journals Genome‐Wide Association Studies of Grain Yield Components in Diverse Sorghum Germplasm

2016 ◽  
Vol 9 (2) ◽  
Author(s):  
Richard E. Boyles ◽  
Elizabeth A. Cooper ◽  
Matthew T. Myers ◽  
Zachary Brenton ◽  
Bradley L. Rauh ◽  
...  
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Association Studies ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Genome Wide ◽  
Grain Yield Components ◽  
Sorghum Germplasm
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