scholarly journals Growth Diagnosis for Predicting Grain Protein Content at Full Heading Time in Spring Wheat

2011 ◽  
Vol 80 (1) ◽  
pp. 90-95 ◽  
Author(s):  
Mikako Sato ◽  
Toshinari Igarashi ◽  
Michihiko Sakurai ◽  
Masatoshi Okumura ◽  
Kazuori Suzuki ◽  
...  
Keyword(s):  
Protein Content ◽  
Spring Wheat ◽  
Grain Protein Content ◽  
Grain Protein ◽  
Heading Time

scholarly journals Mutant Lines of Spring Wheat with Increased Iron, Zinc, and Micronutrients in Grains and Enhanced Bioavailability for Human Health

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Saule Kenzhebayeva ◽  
Alfia Abekova ◽  
Saule Atabayeva ◽  
Gulzira Yernazarova ◽  
Nargul Omirbekova ◽  
...  
Keyword(s):  
Genetic Variation ◽  
Protein Content ◽  
Spring Wheat ◽  
Grain Protein Content ◽  
Grain Protein ◽  
Cereal Products ◽  
Molar Ratios ◽  
Stable Mutant ◽  
Micronutrient Malnutrition ◽  
Mutant Lines

Deficiency of metals, primarily Fe and Zn, affects over half of the world’s population. Human diets dominated by cereal products cause micronutrient malnutrition, which is common in many developing countries where populations depend heavily on staple grain crops such as wheat, maize, and rice. Biofortification is one of the most effective approaches to alleviate malnutrition. Genetically stable mutant spring wheat lines (M7 generation) produced via 100 or 200 Gy gamma treatments to broaden genetic variation for grain nutrients were analyzed for nutritionally important minerals (Ca, Fe, and Zn), their bioavailability, and grain protein content (GPC). Variation was 172.3–883.0 mg/kg for Ca, 40.9–89.0 mg/kg for Fe, and 22.2–89.6 mg/kg for Zn. In mutant lines, among the investigated minerals, the highest increases in concentrations were observed in Fe, Zn, and Ca when compared to the parental cultivar Zhenis. Some mutant lines, mostly in the 100 Gy-derived germplasm, had more than two-fold higher Fe, Zn, and Ca concentrations, lower phytic acid concentration (1.4–2.1-fold), and 6.5–7% higher grain protein content compared to the parent. Variation was detected for the molar ratios of Ca:Phy, Phy:Fe, and Phy:Zn (1.27–10.41, 1.40–5.32, and 1.78–11.78, respectively). The results of this study show how genetic variation generated through radiation can be useful to achieve nutrient biofortification of crops to overcome human malnutrition.

Simultaneous selection for early maturity, increased grain yield and elevated grain protein content in spring wheat

2007 ◽  
Vol 126 (3) ◽  
pp. 244-250 ◽  
Author(s):  
M. Iqbal ◽  
A. Navabi ◽  
D. F. Salmon ◽  
R.-C. Yang ◽  
D. Spaner
Keyword(s):  
Grain Yield ◽  
Protein Content ◽  
Spring Wheat ◽  
Grain Protein Content ◽  
Grain Protein ◽  
Early Maturity ◽  
Simultaneous Selection ◽  
Selection For

Effect of rates and timing of nitrogen fertilizer on the grain protein content of wheat (Triticum aestivum), grown in two contrasting seasons in South East England

1992 ◽  
Vol 118 (3) ◽  
pp. 265-269 ◽  
Author(s):  
A. A. Sajo ◽  
D. H. Scarisbrick ◽  
A. G. Clewer
Keyword(s):  
Protein Content ◽  
Spring Wheat ◽  
Nitrogen Fertilizer ◽  
Fertilizer Application ◽  
Grain Protein Content ◽  
Early Summer ◽  
Grain Protein ◽  
Summer Drought ◽  
Growing Seasons ◽  
South East England

SUMMARYA field experiment was carried out at the Wye College Farm during 1988 and 1989. The aim was to study the effects of three rates and timings of nitrogen fertilizer application on the grain protein content of spring wheat cv. Axona. Results demonstrated that timing of fertilizer application was more important than the rate of nitrogen used. Grain protein development and final grain protein contents are discussed in relation to the seasonal variations experienced during the 1988 and 1989 growing seasons in South East England. Due to the early February sowing in 1989, grain protein content was not affected by the summer drought. Thus, the advantage of early sowing of spring wheat to reduce the detrimental effect of early summer drought on the grain protein content is emphasised.

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.

A comparison of marker-assisted and phenotypic selection for high grain protein content in spring wheat

Euphytica ◽  
2006 ◽  
Vol 152 (1) ◽  
pp. 117-134 ◽  
Author(s):  
John Davies ◽  
William A. Berzonsky ◽  
Gene D. Leach
Keyword(s):  
Protein Content ◽  
Spring Wheat ◽  
Phenotypic Selection ◽  
Grain Protein Content ◽  
Grain Protein ◽  
Selection For
Sign in / Sign up

Export Citation Format

Share Document