Effects of wheat seed rate and fertiliser nitrogen application practices on populations, grain yield components and grain yields of wheat (Triticum aestivum)

2005 ◽  
Vol 33 (2) ◽  
pp. 125-138 ◽  
Author(s):  
R. C. Stephen ◽  
D. J. Saville ◽  
E. G. Drewitt
Keyword(s):  
Triticum Aestivum ◽  
Grain Yield ◽  
Yield Components ◽  
Wheat Seed ◽  
Nitrogen Application ◽  
Seed Rate ◽  
Grain Yields ◽  
Grain Yield Components

Effects of Sowing Date, Nitrogen and Seed Rate on Wheat Yields in the Sudan Gezira

1970 ◽  
Vol 6 (2) ◽  
pp. 143-149 ◽  
Author(s):  
M. A. Khalifa
Keyword(s):  
Grain Yield ◽  
Sowing Date ◽  
Nitrogen Application ◽  
Seed Rate ◽  
Grain Yields ◽  
Sudan Gezira

SUMMARYA three-year study of the effects of sowing date, nitrogen application and seed rate on wheat showed that sowing in mid-October gave consistently greater grain yields than sowing in mid-September or mid-November because grains were larger and more numerous per head. Nitrogen increased yields but the effect decreased with later sowing. Nitrogen probably increased grain yield by increasing the number of ears, but this effect diminished with higher levels of nitrogen. Grain yield was only slightly influenced by seed rate, and the interaction of seed rate with sowing date or nitrogen was unimportant.

Relationship of grain micronutrient concentrations and grain yield components in a doubled haploid bread wheat (Triticum aestivum) population

2021 ◽  
Author(s):  
Mantshiuwa C. Lephuthing ◽  
Vicki L. Tolmay ◽  
Timmy A. Baloyi ◽  
Tsepiso Hlongoane ◽  
Tebogo A. Oliphant ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Grain Yield ◽  
Bread Wheat ◽  
Doubled Haploid ◽  
Yield Components ◽  
Grain Yield Components ◽  
Relationship Of

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.

Correlative Analysis of Yield and its Components in Maize

1974 ◽  
Vol 10 (2) ◽  
pp. 81-86 ◽  
Author(s):  
K. P. Prabhakaran Nair ◽  
R. P. Singh
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Negative Influence ◽  
Nitrogen Accumulation ◽  
Nitrogen Application ◽  
Thousand Grain Weight ◽  
N Application ◽  
Correlative Analysis ◽  
Local Cultivar ◽  
Improvement Programme

SUMMARYAt Pantnagar, India, linear response in maize to nitrogen application was observed up to 150 kg. of N/ha. with some of the most promising hybrids and composites released by the All India Co-ordinated Maize Improvement Programme. Increase in grain yield, and total nitrogen accumulation in grain, were substantially more in Ganga 2 than in the local cultivar or the composites, at higher rates of N application. In absolute terms, the local cultivar accumulated more nitrogen in its grain, but the relative amounts declined at higher rates of N application. Among the yield components influencing ultimate grain yield, barrenness exerted a negative influence on grain yield through the number of cobs per plot. Among cob characters, such as thousand grain weight and number of grains per cob, the former exerted a substantial influence on grain yield.

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
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