scholarly journals Some Agro-Physiological Indices, Grain Yield Components and Yield of Field-Grown Maize in Response to Mycorrhiza and Phosphorus Fertilizer

2016 ◽  
Vol 5 (18) ◽  
pp. 279-290
Author(s):  
J. Hamzei ◽  
M. Babaei ◽  
◽  
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Phosphorus Fertilizer ◽  
Physiological Indices ◽  
Grain Yield Components

scholarly journals Epistasis for Three Grain Yield Components in Rice (Oryxa sativa L.)

Genetics ◽  
1997 ◽  
Vol 145 (2) ◽  
pp. 453-465 ◽  
Author(s):  
Zhikang Li ◽  
Shannon R M Pinson ◽  
William D Park ◽  
Andrew H Paterson ◽  
James W Stansel
Keyword(s):  
Grain Yield ◽  
Complex Traits ◽  
Yield Components ◽  
Genetic Basis ◽  
Kernel Weight ◽  
Progeny Testing ◽  
Grain Yield Components ◽  
Main Effects ◽  
Grain Number Per Panicle

The genetic basis for three grain yield components of rice, 1000 kernel weight (KW), grain number per panicle (GN), and grain weight per panicle (GWP), was investigated using restriction fragment length polymorphism markers and F4 progeny testing from a cross between rice subspecies japonica (cultivar Lemont from USA) and indica (cv. Teqing from China). Following identification of 19 QTL affecting these traits, we investigated the role of epistasis in genetic control of these phenotypes. Among 63 markers distributed throughout the genome that appeared to be involved in 79 highly significant (P < 0.001) interactions, most (46 or 73%) did not appear to have “main” effects on the relevant traits, but influenced the trait(s) predominantly through interactions. These results indicate that epistasis is an important genetic basis for complex traits such as yield components, especially traits of low heritability such as GN and GWP. The identification of epistatic loci is an important step toward resolution of discrepancies between quantitative trait loci mapping and classical genetic dogma, contributes to better understanding of the persistence of quantitative genetic variation in populations, and impels reconsideration of optimal mapping methodology and marker-assisted breeding strategies for improvement of complex traits.

Determination of Combining Ability and Heterosis of Grain Yield Components for Maize Mutants Based on Line×Tester Analysis

2014 ◽  
Vol 7 (1) ◽  
pp. 19-33 ◽  
Author(s):  
D. Ruswandi ◽  
J. Supriatna ◽  
A.T. Makkulawu ◽  
B. Waluyo ◽  
H. Marta ◽  
...  
Keyword(s):  
Grain Yield ◽  
Combining Ability ◽  
Yield Components ◽  
On Line ◽  
Grain Yield Components

scholarly journals High-resolution mapping of rachis nodes per rachis, a critical determinant of grain yield components in wheat

2019 ◽  
Vol 132 (9) ◽  
pp. 2707-2719 ◽  
Author(s):  
Kai P. Voss-Fels ◽  
Gabriel Keeble-Gagnère ◽  
Lee T. Hickey ◽  
Josquin Tibbits ◽  
Sergej Nagornyy ◽  
...  
Keyword(s):  
High Resolution ◽  
Grain Yield ◽  
Yield Components ◽  
Critical Determinant ◽  
High Resolution Mapping ◽  
Resolution Mapping ◽  
Grain Yield Components

scholarly journals Variability of grain yield components of some new winter wheat genotypes (Triticum aestivum L.)

2011 ◽  
Vol 48 (No. 5) ◽  
pp. 230-235
Author(s):  
M. Sabo ◽  
M. Bede ◽  
Ž.U. Hardi
Keyword(s):  
Winter Wheat ◽  
Grain Yield ◽  
Yield Components ◽  
Vegetation Period ◽  
Grain Number ◽  
Potential Yield ◽  
High Positive Correlation ◽  
Wheat Genotypes ◽  
Grain Number Per Spike ◽  
Grain Yield Components

Variability of grain yield components of some new winter wheat genotypes (e.g. Lara, Lenta, Kruna, Fiesta, Perla, and one line of AG-45) was examined. The analysis of grain yield components of these genotypes and the line was undertaken in a two-year research (1997/1998 and 1998/1999) at two different locations. Significant differences among genotypes, locations and research years were established. In the first experimental year (1997/1998) there was a high positive correlation between nearly all components of the grain yield. The most significant correlation was found between the grain number per spike and grain yield. In the second experimental year (1998/1999) the components did not show statistically significant correlation with the grain yield. It seems that the grain yield of examined genotypes depended significantly on the grain number per spike, grain mass per spike, and agroecological conditions during the vegetation period, whereby the potential yield was determined by the interaction among genotypes, location and production year. The biggest differences among examined genotypes of winter wheat were found in the stem height and spike length.

scholarly journals Mapping of QTL for Grain Yield Components Based on a DH Population in Maize

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Jiwei Yang ◽  
Zonghua Liu ◽  
Qiong Chen ◽  
Yanzhi Qu ◽  
Jihua Tang ◽  
...  
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Dh Population ◽  
Grain Yield Components

scholarly journals Publisher Correction: Mapping of QTL for Grain Yield Components Based on a DH Population in Maize

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Jiwei Yang ◽  
Zonghua Liu ◽  
Qiong Chen ◽  
Yanzhi Qu ◽  
Jihua Tang ◽  
...  
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Dh Population ◽  
Grain Yield Components

scholarly journals Coexpression network and phenotypic analysis identify metabolic pathways associated with the effect of warming on grain yield components in wheat

PLoS ONE ◽  
2018 ◽  
Vol 13 (6) ◽  
pp. e0199434 ◽  
Author(s):  
Christine Girousse ◽  
Jane Roche ◽  
Claire Guerin ◽  
Jacques Le Gouis ◽  
Sandrine Balzegue ◽  
...  
Keyword(s):  
Grain Yield ◽  
Metabolic Pathways ◽  
Yield Components ◽  
Coexpression Network ◽  
Phenotypic Analysis ◽  
Grain Yield Components

scholarly journals Morphological Traits Defining Breeding Criteria for Coastal Quinoa in Chile

2018 ◽  
Vol 46 (1) ◽  
pp. 190-196 ◽  
Author(s):  
Daniela MADRID ◽  
Eduardo SALGADO ◽  
Gabriela VERDUGO ◽  
Pablo OLGUÍN ◽  
Dimitrios BILALIS ◽  
...  
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Morphological Traits ◽  
Phenotypic Diversity ◽  
Germplasm Collection ◽  
High Yield ◽  
Data Set ◽  
Central Chile ◽  
Coastal Lowland ◽  
Grain Yield Components

Coastal/lowland quinoa ecotype is an important source of germplasm due to its cultivation in cold-temperate and high latitude areas. However, the interaction of its morphological traits and yields to define breeding criteria is unknown. The present study was designed to characterize the phenotypic diversity of twelve coastal/lowland quinoas using sixteen standardized morphological descriptors under rainfed conditions in central Chile. Complementary analysis of uni- and multi- variate tools allowed a fuller understanding of interrelationships within quinoa germplasm. Through the analysis of frequency distribution, it was possible to determine that genotypes were characterized by plants having low height and medium grain yield. Cluster analysis revealed that plant morphological variables were independently grouped from grain yield components. Additionally, principal component analysis (PCA, 74.8% of total variation data), revealed the existence of three outstanding genotypes (QC01, QC02 and QC05) that were distantly located from the average dispersion of entire germplasm collection. These genotypes were associated with grain yield components, allowing the identification of two groups of high yield (VI and VII), which yielded 3337.7 and 3052.0 kg ha-1, respectively. The data set presented in this study is the first report of coastal/lowland quinoas assessed in central Chile and could assist the development of breeding programmes in cold-temperate areas having similar agro-climatic conditions.

Analysis of Grain‐Yield Components and Inflorescence Levels in Winter‐Type White Lupin

2000 ◽  
Vol 92 (6) ◽  
pp. 1195-1202 ◽  
Author(s):  
Steven L. Noffsinger ◽  
Christian Huyghe ◽  
Edzard Santen
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
White Lupin ◽  
Winter Type ◽  
Grain Yield Components
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