scholarly journals Linkage and Association Mapping Identifies Loci and Develops Kompetitive Allele Specific PCR Markers for Improving Wheat Grain Protein Content

2021 ◽  
Author(s):  
Peng Jiang ◽  
Peng Zhang ◽  
Lei Wu ◽  
Yi He ◽  
Chang Li ◽  
...  
Keyword(s):  
Association Mapping ◽  
Protein Content ◽  
Large Scale ◽  
Grain Protein Content ◽  
Grain Protein ◽  
Wheat Grain ◽  
Breeding Lines ◽  
Specific Pcr ◽  
Allele Specific ◽  
Allele Specific Pcr

Abstract Wheat grain protein content (GPC) is an important quality indicator. The GPC of wheat grown in the middle and lower reaches of the Yangtze River is often low. Marker-assisted selection (MAS) is an effective tool for improving quantitative traits; however, except Gpc-B1, most markers have not been effectively applied in GPC improvement, although many related loci have been identified. Linkage analysis using a recombinant inbred line population from the cross of core parents of Ningmai 9 and Yangmai 158 and association mapping using the local cultivated varieties were performed and nine candidate intervals were identified. The appropriate kompetitive allele specific PCR (KASP) markers associated with GPC were successfully developed and applied in 1163 F4 breeding lines. Three markers, Kgpc-2B, Kgpc-2D, and Kgpc-4A, were validated to be significantly related to GPC by large-scale association mapping, and they were combined to achieve the highest efficiency to enhance GPC. We applied these markers in 164 F6 breeding lines and obtained 15 lines with high GPC, indicating their high selective efficiency. Further, strategies for gene exploration in the three significant intervals were proposed. These results were expected to provide a novel route for improving GPC in wheat quality breeding.

Variability for grain protein content among germplasm accessions and advanced breeding lines in dolichos bean (Lablab purpureus L. Sweet var. Lignosus Prain)

2018 ◽  
Vol 17 (03) ◽  
pp. 289-292
Author(s):  
Pranesh ◽  
S. Ramesh
Keyword(s):  
Grain Yield ◽  
Protein Content ◽  
Protein Energy Malnutrition ◽  
Target Population ◽  
Grain Protein Content ◽  
Grain Protein ◽  
Lablab Purpureus ◽  
Breeding Lines ◽  
Protein Rich ◽  
Germplasm Accessions

AbstractProtein energy malnutrition (PEM) is prevalent in south-east Asian countries including India. Breeding and introduction of grain protein-rich varieties of legumes such as dolichos bean is considered as cost-effective approach to combat PEM. Exploitation of genetic variability within germplasm accessions (GAs) and/or breeding populations is the short-term strategy for identification and delivery of protein-rich dolichos bean cultivars to cater to the immediate needs of the farmers and target population. A set of 118 dolichos bean genotypes consisting of 96 GAs and 20 advanced breeding lines (ABLs) and two released varieties (RVs) was field evaluated in augmented deign for dry grain yield per plant and their grain protein contents were estimated. The grain protein content among the genotypes ranged from 18.82 to 24.5% with a mean of 21.73%. The magnitude of estimates of absolute range, standardized range, and phenotypic coefficient of variation (PCV) for grain protein content was higher among GAs than those among ABLs + RVs. However, average grain protein contents of GAs were comparable to those of ABLs + RVs. Nearly 50% of the genotypes (mostly GAs) had significantly higher grain protein content than those of RVs, HA 3 and HA 4. The grain protein contents of the genotypes were poorly correlated with grain yield per plant. These results are discussed in relation to strategies to breed grain protein-rich dolichos bean cultivars.

scholarly journals Genome-Wide Association Studies and Genomic Selection for Grain Protein Content Stability in a Nested Association Mapping Population of Spring Wheat

2021 ◽  
Author(s):  
Karansher S. Sandhu ◽  
Paul D. Mihalyov ◽  
Megan J. Lewien ◽  
Michael O. Pumphrey ◽  
Arron H Carter
Keyword(s):  
Association Mapping ◽  
Protein Content ◽  
Genomic Selection ◽  
Genetic Control ◽  
Spring Wheat ◽  
Grain Protein Content ◽  
Genome Wide Association ◽  
Grain Protein ◽  
Nested Association Mapping ◽  
Genome Wide

Grain protein content (GPC) is controlled by complex genetic systems and their interactions, and is an important quality determinant for hard spring wheat as it has a positive effect on bread and pasta quality. GPC is variable among genotypes and strongly influenced by environment. Thus, understanding the genetic control of wheat GPC and identifying genotypes with improved stability is an important breeding goal. The objectives of this research were to identify genetic backgrounds with less variation for GPC across environments and identify quantitative trait loci (QTLs) controlling the stability of GPC. A spring wheat nested association mapping (NAM) population of 650 recombinant inbred lines (RIL) derived from 26 diverse founder parents crossed to one common parent, 'Berkut', was phenotyped over three years of field trials (2014-2016). Genomic selection models were developed and compared based on prediction of GPC and GPC stability. After observing variable genetic control of GPC within the NAM population, seven RIL families displaying reduced marker-by-environment interaction were selected based on a stability index derived from Finlay-Wilkinson regression. A genome-wide association study identified seven significant QTLs for GPC stability with a Bonferroni-adjusted P value <0.05. This study also demonstrated that genome-wide prediction of GPC with ridge regression best linear unbiased estimates reached up to r = 0.69. Genomic selection can be used to apply selection pressure for GPC and improve genetic gain for GPC.

scholarly journals Genomic Selection and Genome-Wide Association Studies for Grain Protein Content Stability in a Nested Association Mapping Population of Wheat

Agronomy ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2528
Author(s):  
Karansher S. Sandhu ◽  
Paul D. Mihalyov ◽  
Megan J. Lewien ◽  
Michael O. Pumphrey ◽  
Arron H. Carter
Keyword(s):  
Association Mapping ◽  
Protein Content ◽  
Genomic Selection ◽  
Genetic Control ◽  
Spring Wheat ◽  
Grain Protein Content ◽  
Genome Wide Association ◽  
Grain Protein ◽  
Nested Association Mapping ◽  
Genome Wide

Grain protein content (GPC) is controlled by complex genetic systems and their interactions and is an important quality determinant for hard spring wheat as it has a positive effect on bread and pasta quality. GPC is variable among genotypes and strongly influenced by the environment. Thus, understanding the genetic control of wheat GPC and identifying genotypes with improved stability is an important breeding goal. The objectives of this research were to identify genetic backgrounds with less variation for GPC across environments and identify quantitative trait loci (QTLs) controlling the stability of GPC. A spring wheat nested association mapping (NAM) population of 650 recombinant inbred lines (RIL) derived from 26 diverse founder parents crossed to one common parent, ‘Berkut’, was phenotyped over three years of field trials (2014–2016). Genomic selection models were developed and compared based on predictions of GPC and GPC stability. After observing variable genetic control of GPC within the NAM population, seven RIL families displaying reduced marker-by-environment interaction were selected based on a stability index derived from a Finlay–Wilkinson regression. A genome-wide association study identified eighteen significant QTLs for GPC stability with a Bonferroni-adjusted p-value < 0.05 using four different models and out of these eighteen QTLs eight were identified by two or more GWAS models simultaneously. This study also demonstrated that genome-wide prediction of GPC with ridge regression best linear unbiased estimates reached up to r = 0.69. Genomic selection can be used to apply selection pressure for GPC and improve genetic gain for GPC.

Prediction method of single wheat grain protein content based on hyperspectral image

2016 ◽  
Vol 45 (s1) ◽  
pp. 123002
Author(s):  
吴静珠 Wu Jingzhu ◽  
刘 倩 Liu Qian ◽  
陈 岩 Chen Yan ◽  
刘翠玲 Liu Cuiling
Keyword(s):  
Protein Content ◽  
Hyperspectral Image ◽  
Prediction Method ◽  
Grain Protein Content ◽  
Grain Protein ◽  
Wheat Grain

scholarly journals Multi-Temporal and Spectral Analysis of High-Resolution Hyperspectral Airborne Imagery for Precision Agriculture: Assessment of Wheat Grain Yield and Grain Protein Content

2018 ◽  
Vol 10 (6) ◽  
pp. 930 ◽  
Author(s):  
Francelino A. Rodrigues ◽  
Gerald Blasch ◽  
Pierre BlasDefournych ◽  
J. Ivan Ortiz-Monasterio ◽  
Urs Schulthess ◽  
...  
Keyword(s):  
Spectral Analysis ◽  
High Resolution ◽  
Grain Yield ◽  
Protein Content ◽  
Precision Agriculture ◽  
Grain Protein Content ◽  
Grain Protein ◽  
Wheat Grain ◽  
Multi Temporal

Prediction of winter wheat grain protein content by ASTER image

2008 ◽  
Author(s):  
Wenjiang Huang ◽  
Xiaoyu Song ◽  
Jihua Wang ◽  
Zhijie Wang ◽  
Chunjiang Zhao
Keyword(s):  
Winter Wheat ◽  
Protein Content ◽  
Grain Protein Content ◽  
Grain Protein ◽  
Wheat Grain ◽  
Aster Image

scholarly journals Identification of Accession-Specific Variants and Development of KASP Markers for Assessing the Genetic Makeup of Crop Seeds

2021 ◽  
Author(s):  
Seongmin Hong ◽  
Su Ryun Choi ◽  
Jihyeong Kim ◽  
Young-Min Jeong ◽  
Suk-Yoon Kwon ◽  
...  
Keyword(s):  
Core Collection ◽  
F1 Hybrids ◽  
Genetic Purity ◽  
Breeding Lines ◽  
Seed Testing ◽  
Specific Pcr ◽  
Allele Specific ◽  
Genetic Makeup ◽  
Allele Specific Pcr ◽  
Kasp Markers

Abstract Background Most crop seeds are F1 hybrids. Seed providers and plant breeders must be confident that the seed supplied to growers is of known, and uniform, genetic makeup. This requires maintenance of pure genotypes of the parental lines and testing to ensure the genetic purity of the F1 seed. Traditionally, seed testing for purity was done with a grow-out test (GOT) in the field, but these tests are time consuming and costly. Seed testing with molecular markers was introduced as a replacement for GOT early in the last decade. Recently, Kompetitive allele specific PCR (KASP) markers are promising tools for genetic testing of seeds. However, the markers available at that time could be inaccurate and could be used with only a small number of accessions or varieties due to the limited genetic information and reference genomes available. Results Here, we identified 4,925,742 SNPs in 50 accessions of the Brasscia rapa core collection. Furthermore, the total 2,925 SNPs were selected as accession-specific SNPs, considering properties of flanking region harboring accession-specific SNPs and genic region conservation among accessions by NGS analysis. In total, 100 accession-specific markers were developed as accession-specific KASP markers. Based on the results of our validation experiments, the accession-specific markers successfully distinguish individuals from the mixed population including 50 target accessions from B. rapa core collection and outgroup. Conclusions This study provides efficient methods for developing KASP markers to distinguish individuals from the mixture comprised of breeding lines and germplasms from the resequencing data of Chinese cabbage (Brassica rapa spp. pekinensis).

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