Grain Yield Components of Winter Wheat New Cultivars in Correlation with Sowing Rate

2000 ◽  
Vol 28 (3) ◽  
pp. 307-314 ◽  
Author(s):  
V. Guberac ◽  
J. Martinčić ◽  
S. Marić ◽  
M. Bede ◽  
M. Jurišić ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Grain Yield ◽  
Yield Components ◽  
Grain Yield Components ◽  
New Cultivars

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.

Using probe genotypes to dissect QTL × environment interactions for grain yield components in winter wheat

2010 ◽  
Vol 121 (8) ◽  
pp. 1501-1517 ◽  
Author(s):  
Bing Song Zheng ◽  
Jacques Le Gouis ◽  
Martine Leflon ◽  
Wen Ying Rong ◽  
Anne Laperche ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Grain Yield ◽  
Yield Components ◽  
Grain Yield Components ◽  
Probe Genotypes

scholarly journals Frost affects grain yield components in winter wheat

2014 ◽  
Vol 42 (3) ◽  
pp. 194-204 ◽  
Author(s):  
YF Wu ◽  
XL Zhong ◽  
X Hu ◽  
DC Ren ◽  
GH Lv ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Grain Yield ◽  
Yield Components ◽  
Grain Yield Components

scholarly journals Rattail fescue (Vulpia myuros) interference and seed production as affected by sowing time and crop density in winter wheat

Weed Science ◽  
2020 ◽  
pp. 1-10
Author(s):  
Muhammad Javaid Akhter ◽  
Per Kudsk ◽  
Solvejg Kopp Mathiassen ◽  
Bo Melander
Keyword(s):  
Winter Wheat ◽  
Grain Yield ◽  
Seed Production ◽  
Yield Components ◽  
Field Experiments ◽  
Growing Season ◽  
Sowing Time ◽  
Growing Seasons ◽  
Crop Density ◽  
Wide Range

Abstract Field experiments were conducted in the growing seasons of 2017 to 2018 and 2018 to 2019 to evaluate the competitive effects of rattail fescue [Vulpia myuros (L.) C.C. Gmel.] in winter wheat (Triticum aestivum L.) and to assess whether delayed crop sowing and increased crop density influence the emergence, competitiveness, and fecundity of V. myuros. Cumulative emergence showed the potential of V. myuros to emerge rapidly and under a wide range of climatic conditions with no effect of crop density and variable effects of sowing time between the two experiments. Grain yield and yield components were negatively affected by increasing V. myuros density. The relationship between grain yield and V. myuros density was not influenced by sowing time or by crop density, but crop–weed competition was strongly influenced by growing conditions. Due to very different weather conditions, grain yield reductions were lower in the growing season of 2017 to 2018 than in 2018 to 2019, with maximum grain yield losses of 22% and 50% in the two growing seasons, respectively. The yield components, number of crop ears per square meter, and 1,000-kernel weight were affected almost equally, reflecting that V. myuros’s competition with winter wheat occurred both early and late in the growing season. Seed production of V. myuros was suppressed by delaying sowing and increasing crop density. The impacts of delayed sowing and increasing crop density on seed production of V. myuros highlight the potential of these cultural weed control tactics in the long-term management programs of this species.

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
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