scholarly journals Environmental Variability of Thousand Kernel Weight in Maize Hybrids of Different Maturity Groups

Poljoprivreda ◽  
2021 ◽  
Vol 27 (2) ◽  
pp. 50-55
Author(s):  
Domagoj Stepinac ◽  
Hrvoje Šarčević ◽  
Ivica Buhiniček ◽  
Mirko Jukić ◽  
Bojan Marković ◽  
...  
Keyword(s):  
Environmental Variability ◽  
Kernel Weight ◽  
Yield Component ◽  
Maize Breeding ◽  
Thousand Kernel Weight ◽  
Maize Hybrids ◽  
Component Trait ◽  
Year Effect ◽  
High Heritability ◽  
Maturity Groups

Thousand kernel weight (TKW) is an important yield component trait affected by the environmental conditions. This study’s objectives were to determine an environmental variability for the TKW in 32 maize hybrids, sorted in four FAO maturity groups (FAO300, 400, 500 and 600), and to compare 12 environments in Croatia (six locations in two years) according to the joint linear regression and stability analyses across the maturity groups. In general, the effects of the environment, genotype, and their interaction (GEI) were significant. A three-factor ANOVA revealed the greatest and highly significant year effect, while the location effect was non-significant across all four FAO groups. A stability analysis did not detect any preferences with regard to the locations and trends across the FAO groups. It indicates that all locations in the Pannonian region included in this study were suitable for an evaluation of the TKW in maize genotypes belonging to all maturity groups. The TKW seems to be an appropriate yield-component trait for maize breeding due to a high heritability and linear GEI nature.

scholarly journals Field Population Density Effects on Field Yield and Morphological Characteristics of Maize

Agriculture ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 160
Author(s):  
Vasileios Greveniotis ◽  
Stylianos Zotis ◽  
Evangelia Sioki ◽  
Constantinos Ipsilandis
Keyword(s):  
Population Density ◽  
Plant Height ◽  
Environmental Conditions ◽  
Field Experiments ◽  
Plant Density ◽  
Morphological Characteristics ◽  
Kernel Weight ◽  
Row Spacing ◽  
Thousand Kernel Weight ◽  
Maize Hybrids

The objective of this study was to evaluate the effect of population density and row spacing on field yield and other morphological characteristics of two commercial F1 maize hybrids of different biological cycle (Costanza and LG3535) in a four-year period. Field experiments were conducted in a split-split plot design, in two population densities and three types of row spacing, involving single or twin rows. Ten plants from each plot were selected randomly and plant height, ear emergence height, ear length, ear diameter, number of grain rows per ear, grains number per ear, grain weight per ear, spindle weight per ear, and spindle diameter were measured. Grain yield of each plot was measured and field yield, thousand kernel weight and bulk density were calculated. Four years of experimentation clarified that environmental conditions may distort all other effects of the factors studied. This study points out the best combination of plant density and row configuration. High populations and twin or narrow rows (50 cm) were found to be important for maximizing yield of modern maize hybrids. Differences between hybrids were not significant, although Costanza exhibited greater mean field yield performance (14,364 kg/ha). Plant density was a significant factor and yield was increasing from low to high plant population (from 13,900 to 14,527 kg/ha). Plant density and genetic materials affected thousand kernel weights that showed the highest value at low plant density (364 g). Row spacing showed a significant interaction with year. Generally, twin or narrow rows favored many characteristics, especially height characteristics. Plant height reached 320 cm and ear height reached 149 cm. Ear diameter was favored by low plant density. Some ear characteristics were found to be depended on the genotype behavior in the certain environmental conditions. For spindle weight per ear, a total interaction between years, row spacing, hybrids, and plant density was found. For spindle diameter, various significant interactions were found, including years (maximum also in 2009), row spacing, and plant density and also row spacing, hybrids, and plant density. Many correlations were found significant especially between yield and thousand kernel weight, spindle weight per ear, and ear diameter that may prove to be useful for plant breeders.

scholarly journals Grain Moisture of Maize Hybrids in Different Maturity Groups at Various Harvesting Dates

2003 ◽  
pp. 24-25
Author(s):  
Lajos Csaba Marton ◽  
Tamás Árendás ◽  
Péter Bónis
Keyword(s):  
Moisture Content ◽  
Maize Hybrids ◽  
Moisture Contents ◽  
Year Effect ◽  
Grain Moisture ◽  
The Difference ◽  
Maturity Groups ◽  
Made In

The experiments were designed to determine the extent to which late harvesting helped to achieve low grain moisture content. The grain moisture contents of 24 hybrids from each of four different maturity groups were recorded during the last decade of September and the first decade of November over a period of three years (1999-2001).The data indicated that late harvesting led to a substantially smaller difference between the hybrids. While in late September the difference between the grain moisture content of the earliest (FAO 200) and latest (FAO 500) hybrids was 8.9%, this value dropped to 1.5% over the average of three years when measurements were made in early November. With the exception of the earliest group, the grain moisture content in all the maturity groups declined during October. The later the hybrid, the greater the decline.This change in the grain moisture content during October exhibited a considerable year effect. When the weather in October was warm, with little rain, the decrease was greater, while in cool, wet years the grain moisture content declined to a lesser extent, or in some cases even increased.

scholarly journals TaSnRK2.4 is a vital regulator in control of thousand-kernel weight and response to abiotic stress in wheat

2021 ◽  
Vol 20 (1) ◽  
pp. 46-54
Author(s):  
Li-li MIAO ◽  
Yu-ying LI ◽  
Hong-juan ZHANG ◽  
Hong-ji ZHANG ◽  
Xiu-lin LIU ◽  
...  
Keyword(s):  
Abiotic Stress ◽  
Kernel Weight ◽  
Thousand Kernel Weight

EFFECT OF PASMO DISEASE ON SEED YIELD AND THOUSAND KERNEL WEIGHT OF FLAX

1950 ◽  
Vol 28c (5) ◽  
pp. 493-512 ◽  
Author(s):  
W. E. Sackston
Keyword(s):  
Seed Yield ◽  
Yeast Extract ◽  
Kernel Weight ◽  
Potato Dextrose Agar ◽  
Seedling Stage ◽  
Flowering Stage ◽  
Thousand Kernel Weight ◽  
Stages Of Growth ◽  
Positive Correlations ◽  
Field Plots

The pasmo pathogen sporulated freely on potato dextrose agar containing yeast extract. Spores suspended in water with gelatin as a spreader–sticker were sprayed onto flax plants at different stages of growth in field plots. Heaviest infections of pasmo resulted from inoculations at the flowering stage, lighter infections from inoculations on seedlings, and lightest infections from inoculations on ripening plants. Diluting the concentration of spores in the inoculum reduced disease intensity. The four flax varieties in the tests differed in reaction to pasmo. In decreasing order of susceptibility they were: Viking, Redwing, Royal, and Crystal. Heavy infections of pasmo caused premature ripening and reduced the seed yield and weight per thousand kernels of all four varieties. The effects of pasmo infection on seed yield and kernel weight were similar to those caused by a hot, dry climate, and by flax rust. Seed yield and kernel weight were reduced most markedly by inoculation at the flowering stage, less severely by inoculation at the seedling stage, and least of all by inoculation at the time of ripening. Seed yield and kernel weight from plots inoculated when the plants were ripening did not differ significantly from the uninoculated checks. Highly significant positive correlations between the data for seed yield and kernel weight indicated that much of the loss in yield resulted from a reduction in the size of individual seeds.

Stability Analysis of Agronomic Traits for Maize (Zea Mays L.) Genotypes Based on Ammi Model

2021 ◽  
Vol 50 (2) ◽  
pp. 343-350
Author(s):  
Meijin Ye ◽  
Zhaoyang Chen ◽  
Bingbing Liu ◽  
Haiwang Yue
Keyword(s):  
Grain Yield ◽  
Agronomic Traits ◽  
Interaction Model ◽  
Genotype By Environment Interaction ◽  
Kernel Weight ◽  
Environment Interaction ◽  
Maize Hybrids ◽  
Genotype By Environment ◽  
Ammi Model ◽  
The Ideal

Stability and adaptability of promising maize hybrids in terms of three agronomic traits (grain yield, ear weight and 100-kernel weight) in multi-environments trials were evaluated. The analysis of AMMI model indicated that the all three agronomic traits showed highly significant differences (p < 0.01) on genotype, environment and genotype by environment interaction. Results showed that genotypes Hengyu321 (G9), Yufeng303 (G10) and Huanong138 (G3) were of higher stability on grain yield, ear weight and 100-kernel weight, respectively. Genotypes Hengyu1587 (G8) and Hengyu321 (G9) showed good performance in terms of grain yield, whereas Longping208 (G2) and Weike966 (G12) showed broad adaptability for ear weight. It was also found that the genotypes with better adaptability in terms of 100-kernel weight were Zhengdan958 (G5) and Weike966 (G12). The genotype and environment interaction model based on AMMI analysis indicated that Hengyu1587 and Hengyu321 were the ideal genotypes, due to extensive adaptability and high grain yield under both testing sites. Bangladesh J. Bot. 50(2): 343-350, 2021 (June)

scholarly journals Genetic variation for seed yield components of Westerwold ryegrass (Lolium multiflorum var. westerwoldicum).

1989 ◽  
Vol 37 (2) ◽  
pp. 119-127 ◽  
Author(s):  
A. Elgersma ◽  
A.P.M. Den Nijs ◽  
F.A. Van Eeuwijk
Keyword(s):  
Genetic Variation ◽  
Seed Yield ◽  
Yield Components ◽  
Lolium Multiflorum ◽  
Genotypic Variation ◽  
Yield Component ◽  
Path Analyses ◽  
Seed Yield Components ◽  
High Heritability ◽  
1000 Grain Weight

Genetic variation for seed yield components was studied in 4 diploid varieties of Westerwold ryegrass, and 19 genotypes from each variety were grown in the field in 2 clonal replicate rows (minirows). The number of inflorescences/minirow, the numbers of spikelets/inflorescence and florets and seeds/spikelet, 1000-grain weight and seed yield/minirow were determined. Floret site utilization (FSU) was calculated as (seeds/floret) x 100%. Genotypic variation and heritabilities were calculated. Correlation studies and path analyses were carried out in each variety separately. Among varieties, no significant differences occurred for seed yield. However, within varieties large genetic variation was present for both seed yield and yield components. Path analyses revealed that relationships between seed yield components differed to a great extent among varieties. FSU was the major yield component in 3 varieties, but in one variety inflorescence number was the most important yield component. There was ample scope for genetic improvement of seed yield. FSU had a very high heritability and was not correlated with any of the other seed yield components. (Abstract retrieved from CAB Abstracts by CABI’s permission)

scholarly journals Management of Leaf Blight (Bipolaris sorokiniana) Disease of Wheat with Cultural Practices

2009 ◽  
Vol 7 ◽  
pp. 63-69
Author(s):  
PCP Chaurasia ◽  
E Duveiller
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Cultural Practices ◽  
Flag Leaf ◽  
Kernel Weight ◽  
Leaf Blight ◽  
Thousand Kernel Weight ◽  
Leaf Infection ◽  
Higher Doses ◽  
Late Sowing

An experiment was conducted at agronomy farm of Agriculture research Station, Tarahara,Nepal for three consecutive years viz 2000/2001,2001/2002, and 2002/2003 to evaluate theeffects of different cultural practices on leaf blight diseases of wheat caused by Bipolarissorokiniana under terai conditions. The experiment was conducted in factorial RandomizedComplete Block Design with four replications. Four factors, two wheat verities RR-21 andNepal 297,two number of irrigations (two and three irrigations), two doses of Nitrogen fertilizerviz. 60kg N/ha and 120 kg N/ha and two dates of sowing of wheat were examined. Differentyield components, grain yield (kg/plot) and disease severity were recorded to judge the effects ofthese factors on severity of leaf blight of wheat. Nepal Line 297 had significantly less AUDPCbased on flag leaf infection and whole plan as compared to RR-21. Number of irrigations had nosignificant effect on AUDPC, as there was frequent rain during experimental period. Doses ofNitrogen fertilizer had significant effect on AUDPC based on flag leaf infection. It was higher incase of 60 kg N/ha. The third week of November sowing of wheat had lower value of AUDPCas compared to December sowing. Plant height, panicle lengths were highly significantly higherin case of RR-21 as compared to Nepal-297. Thousand kernel weight, and grain yield kg/ha weresignificantly higher in Nepal-297. All agronomic parameters except thousand kernel weight andnumber of tillers/plan were significantly higher in 120kg N/ha. The third week of Novembersowing of wheat had less plant height and panicle length, higher thousand kernel weight andmore grain yield. Leaf blight severity was highly significantly less in case of Nepal-297. Dosesof Nitrogen fertilizer had significant effect on plant height, panicle length, thousand kernelweight, percentage flag leaf infection and AUDPC based on flag leaf infection. Based on theresults of three years of experimentations, it can be concluded that Nepal-297 had less disease,number of irrigations had no effect on disease severity, higher doses of nitrogen fertilizer hadless flag infection and late sowing of wheat also had less disease. Numbers of irrigation's effectswere inconclusive as there were frequent rains during experimentation period. Based on aboveconclusion, it is recommended that growing wheat verity like Nepal-297, use of higher doses ofnitrogen fertilizer and sowing of wheat / first week of Dec help in minimizing the severity of leafblight. However late sowing had lowered grain yield.Key words: AUDPC; culture practices; disease management; leaf blightDOI: 10.3126/narj.v7i0.1870Nepal Agriculture Research Journal Vol.7 2006 pp.63-69

Effect of nitrogen, seeding date and cultivar on oat quality and yield in the eastern Canadian prairies

2004 ◽  
Vol 84 (4) ◽  
pp. 1025-1036 ◽  
Author(s):  
William E. May ◽  
Ramona M. Mohr ◽  
Guy P. Lafond ◽  
Adrian M. Johnston ◽  
F. Craig Stevenson
Keyword(s):  
Grain Yield ◽  
Avena Sativa ◽  
Yield Components ◽  
Seed Quality ◽  
Kernel Weight ◽  
Yield Component ◽  
Human Consumption ◽  
Seeding Date ◽  
N Rates

The proportion of oat (Avena sativa L.) being used for race horses and human consumption has increased over the past 15 yr. The objective of this study was to evaluate the effects of N, seeding date and cultivar on grain yield components, grain yield and grain quality of oat under a direct seeding system. Four N rates, three seeding dates and two cultivars were tested at Indian Head, Melfort, and Canora, SK, and Brandon, MB. Yield was more responsive to increasing N rates from 15 and 80 kg ha-1 when oat was seeded in early May versus early June. Panicles plant-1 was the yield component that accounted for most of the yield increase achieved from increasing rates of N, while kernel weight was the yield component that decreased as the rate of N increased. Physical seed quality decreased (plump seed decreased and thin seed increased) with delayed seeding and greater N fertilizer rates. Nitrogen fertilizer and seeding date had a much larger effect on the quality of CDC Pacer than AC Assiniboia. Combining early seeding, appropriate N fertility and well-adapted cultivars should increase the likelihood of optimizing oat yield and quality necessary for high-value markets. Key words: Avena sativa L., yield components, test weight, lodging, plump seed, thin seed

Resequencing of 683 common bean genotypes identifies yield component trait associations across a north–south cline

2019 ◽  
Vol 52 (1) ◽  
pp. 118-125 ◽  
Author(s):  
Jing Wu ◽  
Lanfen Wang ◽  
Junjie Fu ◽  
Jibao Chen ◽  
Shuhong Wei ◽  
...  
Keyword(s):  
Common Bean ◽  
Yield Component ◽  
Component Trait ◽  
Trait Associations
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