Examining the relationship between agronomic performance and fiber quality in ten cotton breeding populations

Crop Science ◽  
2020 ◽  
Author(s):  
B.T. Campbell
Keyword(s):  
Fiber Quality ◽  
Agronomic Performance ◽  
Cotton Breeding ◽  
Breeding Populations ◽  
The Relationship

Insight into the relationship between S-lignin and fiber quality based on multiple research methods

2020 ◽  
Vol 147 ◽  
pp. 251-261
Author(s):  
Shuya Zhang ◽  
Tingting Jia ◽  
Zhen Zhang ◽  
Xianyan Zou ◽  
Senmiao Fan ◽  
...  
Keyword(s):  
Research Methods ◽  
Fiber Quality ◽  
The Relationship ◽  
Insight Into

scholarly journals The Relationship Between Census Results and Breeding Populations of some Marshland Passerines

Bird Study ◽  
1973 ◽  
Vol 20 (2) ◽  
pp. 127-140 ◽  
Author(s):  
Ben D. Bell ◽  
C. K. Catchpole ◽  
K. J. Corbett ◽  
R. J. Hornby
Keyword(s):  
Breeding Populations ◽  
The Relationship

scholarly journals Assessment of Juvenile Growth and Yield Relationship Among Dwarf Cashew Types in Ghana

2020 ◽  
Vol 12 (10) ◽  
pp. 116
Author(s):  
A. M. Dadzie ◽  
P. K. K. Adu-Gyamfi ◽  
A. Akpertey ◽  
A. Ofori ◽  
S. Y. Opoku ◽  
...  
Keyword(s):  
Agronomic Traits ◽  
Environmental Influence ◽  
Block Design ◽  
Growth And Yield ◽  
Agronomic Performance ◽  
Juvenile Growth ◽  
Genetic Advance ◽  
Randomized Complete Block Design ◽  
High Heritability ◽  
The Relationship

Cashew (Anacardium occidentale L.) is an important tropical cash crop cultivated in Ghana. It provides livelihood for about 200,000 people and contributes 6.1% to Ghana’s gross domestic product (GDP). Four Brazilian dwarf accessions were introduced to improve nut yield. Objectives of this study were to (1) assess the agronomic performance of the accessions across two contrasting ecologies, (2) determine environmental influence on juvenile growth, (3) determine the relationship between early vegetative growth and yield and (4) explore heritability and genetic advance for the measured agronomic traits. The experiment was laid out in a randomized complete block design with 3 replications. Results revealed significant (p < 0.05) environmental influence on growth and yield of cashew. Transitional savanna agro-ecology is more suitable for cashew growth and development. Crop year, location and crop year × location interactions also influenced most of the agronomic traits. Early growth characteristics alone were not enough to predict yield. Genotype B2 ranked highest yielding across the agro-ecologies. Moderate to high heritability and genetic advance estimates were observed for nut yield, plant height and girth, an indication of variability among accessions needed for cashew improvement in Ghana.

scholarly journals Environment and ryegrass genetics - multisite trial of advanced breeding populations

2015 ◽  
Vol 77 ◽  
pp. 233-238 ◽  
Author(s):  
H.S. Easton ◽  
M.Z.Z. Jahufer ◽  
C. Flay ◽  
J. Schmidt ◽  
M.P. Rolston ◽  
...  
Keyword(s):  
Genomic Selection ◽  
Field Data ◽  
Dry Matter ◽  
Agronomic Performance ◽  
Data Set ◽  
Visual Scoring ◽  
Breeding Populations ◽  
Trial Analysis ◽  
Genomic Selection Model ◽  
Insight Into

Developing a genomic selection (GS) strategy for ryegrass requires field data for training GS models and to gain insight into how ryegrass agronomic performance varies, within and among populations and across locations. Families from five perennial ryegrass breeding populations are being evaluated in eight trials in Northland, Waikato, Hawke's Bay, Manawatu and Canterbury to establish a data set for development of a genomic selection model. Statistically robust variances are evident among families within populations, both for visual scoring of herbage bulk and dry matter measurements. Multi-trial analysis of data showed significant (P

Growth Analysis of Cotton in Competition with Velvetleaf (Abutilon theophrasti)

2016 ◽  
Vol 30 (1) ◽  
pp. 123-136 ◽  
Author(s):  
Xiaoyan Ma ◽  
Jinyan Yang ◽  
Hanwen Wu ◽  
Weili Jiang ◽  
Yajie Ma ◽  
...  
Keyword(s):  
Field Experiments ◽  
Fiber Quality ◽  
Dry Weight ◽  
Growth And Yield ◽  
Effective Management ◽  
Cotton Yield ◽  
Seed Cotton ◽  
Weed Density ◽  
Seed Cotton Yield ◽  
The Relationship

Field experiments were conducted in 2013 and 2014 to determine the influence of velvetleaf densities of 0, 0.125, 0.25, 0.5, 1, 2, 4, and 8 plants m−1of row on cotton growth and yield. The relationship between velvetleaf density and seed cotton yield was described by the hyperbolic decay regression model, which estimated that a density of 0.44 to 0.48 velvetleaf m−1of row would result in a seed cotton yield loss of 50%. Velvetleaf remained taller and thicker than cotton throughout the growing season. Both cotton height and stem diameter reduced with increasing velvetleaf density. Moreover, velvetleaf interference delayed cotton maturity, especially at velvetleaf densities of 1 to 8 plants m−1of row, and cotton boll number and weight, seed numbers per boll, and lint percentage were also reduced. Fiber quality was not influenced by weed density when analyzed over 2 yr; however, fiber length uniformity and micronaire were adversely affected in 2014. Velvetleaf intraspecific competition resulted in density-dependent effects on weed biomass, ranging from 97 to 204 g plant−1dry weight. Velvetleaf seed production per plant or per square meter was indicated by a logarithmic response. At a density of 1 plant m−1of cotton row, velvetleaf produced approximately 20,000 seeds m−2. The adverse impact of velvetleaf on cotton growth and development identified in this study have indicated the need for effective management of this species when the weed density is greater than 0.25 to 0.5 plant m−1of row and before the weed seed maturity.

scholarly journals Agronomic performance of wheat cultivars and their molecular characterization

Genetika ◽  
2018 ◽  
Vol 50 (2) ◽  
pp. 591-602
Author(s):  
Velimir Mladenov ◽  
Miodrag Dimitrijevic ◽  
Sofija Petrovic ◽  
Jan Bocanski ◽  
Ankica Kondic-Spika ◽  
...  
Keyword(s):  
Global Climate Change ◽  
Global Climate ◽  
Wheat Breeding ◽  
Agronomic Performance ◽  
Wheat Cultivars ◽  
Ge Interaction ◽  
Winter Wheat Cultivars ◽  
The Stability ◽  
Basin Region ◽  
The Relationship

Creation of new higher yield cultivars, adaptation of existing germplasm to a global climate change, increasing resistance to diseases in new genotypes are some of the tasks that breeding have in front of it. The objectives of this research were to assess GE interaction in two different environments across two vegetation seasons and to do association analysis based on the results of the phenotypic and molecular evaluation. Grain samples were obtained from 96 winter wheat cultivars grown in 2011/12 and 2012/13 at two locations in the South Pannonia Basin region and population was profiled with 28 microsatellites. The share of genotype is high and amounts 24.84%, while the share of environments was 21.06%, when yield was evaluated. The GE interaction was also statistically significant and amounts 51.58% of the total variance. Microsatellites that exhibited a relation with yield by GLM and MLM model were: gwm357, gwm339, cfa2114, gwm631, gwm495, gwm190, barc1121 and gwm437. Markers that have demonstrated the stability of the relationship with yield in different environments can be recommended as potentially useful in wheat breeding.

Cotton Breeding for Fiber Quality Improvement

2014 ◽  
pp. 191-232 ◽  
Author(s):  
Greg Constable ◽  
Danny Llewellyn ◽  
Sally Ann Walford ◽  
Jenny D. Clement
Keyword(s):  
Quality Improvement ◽  
Fiber Quality ◽  
Cotton Breeding
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