scholarly journals Mixed modeling for fiber yield genetic selection in sugarcane

2021 ◽  
Vol 53 (2) ◽  
pp. 11-19
Author(s):  
João de Andrade Dutra Filho ◽  
Lauter Silva Souto ◽  
Rômulo Gil De Luna ◽  
Anielson dos Santos Souza ◽  
Frank Gomes Silva ◽  
...  
Keyword(s):  
Linear Models ◽  
Genetic Selection ◽  
Fiber Content ◽  
Sucrose Content ◽  
Mixed Linear Models ◽  
High Fiber ◽  
Sugarcane Crop ◽  
Commercial Cultivation ◽  
Selection For ◽  
Harmonic Means

The current demand for clean and renewable energy has provoked considerable changes in the production system of agroindustrial companies. The generation of bioelectricity through the burning of sugarcane bagasse has considerably risen in the recent years. This work aimed to focus on the sugarcane genotypes selection for fiber productivity. The experiment was outlined in randomized blocks with four repetitions, and sixteen genotypes were evaluated. The evaluated traits  were: cane tons per hectare, sucrose tons per hectare, fiber tons per hectare, fiber content and apparent sucrose content. To the selection, the mixed linear models methodology was used. The heritability coefficients suggest a significant genetic gain and the harmonic means of relative performances of predicted genotypic values allowed the identification of stable genotypes related to the traits evaluated in four harvest cycles. Considering the current average demand of sugarcane agroindustry for varieties with fiber content between 12% and 17% and sucrose content near 13%, for energy generation and sugar production, the genotypes EECAC 06, EECAC 03, EECAC 04 and EECAC 07 are presented as commercial cultivation options. Highlights - Mixed models constitute an efficient tool for sugarcane selection focused onto fiber and sucrose production. - This methodology provides significant genetic gains based on predicted genetic values free from interaction with harvest cycles. - The evaluated genotypes present high fiber and sucrose productivity, genotypic adaptability and stability throughout harvest cycles, indicating longevity in the sugarcane crop.

scholarly journals Longitudinal Phenotypes Improve Genotype Association for Hyperketonemia in Dairy Cattle

Animals ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 1059 ◽  
Author(s):  
Francisco A. Leal Yepes ◽  
Daryl V. Nydam ◽  
Sabine Mann ◽  
Luciano Caixeta ◽  
Jessica A. A. McArt ◽  
...  
Keyword(s):  
Linear Models ◽  
Association Studies ◽  
Genetic Selection ◽  
Area Under The Curve ◽  
Genome Wide Association Studies ◽  
Nucleotide Polymorphisms ◽  
Mixed Linear Models ◽  
Biological Insight ◽  
Group 2 ◽  
Genomic Regions

The objective of our study was to identify genomic regions associated with varying concentrations of non-esterified fatty acid (NEFA), β-hydroxybutyrate (BHB), and the development of hyperketonemia (HYK) in longitudinally sampled Holstein dairy cows. Our study population consisted of 147 multiparous cows intensively characterized by serial NEFA and BHB concentrations. To identify individuals with contrasting combinations in longitudinal BHB and NEFA concentrations, phenotypes were established using incremental area under the curve (AUC) and categorized as follows: Group (1) high NEFA and high BHB, group (2) low NEFA and high BHB), group (3) low NEFA and low BHB, and group (4) high NEFA and low BHB. Cows were genotyped on the Illumina Bovine High-density (777 K) beadchip. Genome-wide association studies using mixed linear models with the least-related animals were performed to establish a genetic association with HYK, BHB-AUC, NEFA-AUC, and the comparisons of the 4 AUC phenotypic groups using Golden Helix software. Nine single-nucleotide polymorphisms were associated with high longitudinal concentrations of BHB and further investigated. Five candidate genes related to energy metabolism and homeostasis were identified. These results provide biological insight and help identify susceptible animals thus improving genetic selection criteria thereby decreasing the incidence of HYK.

Genetic analysis of mastitis in dairy cattle with a Bayesian threshold model

2000 ◽  
Vol 2000 ◽  
pp. 16-16 ◽  
Author(s):  
H.N. Kadarmideen ◽  
R. Rekaya ◽  
D. Gianola
Keyword(s):  
Monte Carlo ◽  
Markov Chain ◽  
Genetic Parameters ◽  
Linear Models ◽  
Early Stage ◽  
Threshold Model ◽  
Genetic Parameter ◽  
Genetic Selection ◽  
Stage Of Lactation ◽  
Selection For

Genetic parameters of mastitis are required in genetic selection for mastitis resistance. Excluding cows that are culled at an early stage of lactation due to mastitis from genetic parameter estimation may introduce culling bias. The use of linear models, suitable for continuous traits, is inappropriate for analysis of mastitis records because it is recorded as an all or none (binary) trait. Here, a Bayesian-threshold model with Markov chain Monte Carlo (MCMC) techniques was used to analyze mastitis data. The objective was to estimate genetic parameters of mastitis in first and all-lactation cows using complete or incomplete records on disease.

Inheritance and Correlation Analysis of Main Agronomic Traits in Mungbean (Vigna radiata L.) by Mixed Linear Models

2013 ◽  
Vol 38 (4) ◽  
pp. 624-631
Author(s):  
Chang-You LIU ◽  
Bao-Jie FAN ◽  
Zhi-Min CAO ◽  
Yan WANG ◽  
Zhi-Xiao ZHANG ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Vigna Radiata ◽  
Linear Models ◽  
Agronomic Traits ◽  
Mixed Linear Models

Genetic selection for nonstructural carbohydrates and its impact on other nutritive attributes of alfalfa ( Medicago sativa ) forage

2021 ◽  
Author(s):  
Annie Claessens ◽  
Marie Bipfubusa ◽  
Caroline Chouinard‐Michaud ◽  
Annick Bertrand ◽  
Gaëtan F. Tremblay ◽  
...  
Keyword(s):  
Medicago Sativa ◽  
Genetic Selection ◽  
Nonstructural Carbohydrates ◽  
Selection For

scholarly journals Influence of Genetic Selection for Growth and Broodstock Diet n-3 LC-PUFA Levels on Reproductive Performance of Gilthead Seabream, Sparus aurata

Animals ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 519
Author(s):  
Shajahan Ferosekhan ◽  
Serhat Turkmen ◽  
Cathaysa Pérez-García ◽  
Hanlin Xu ◽  
Ana Gómez ◽  
...  
Keyword(s):  
Reproductive Performance ◽  
Egg Quality ◽  
Sparus Aurata ◽  
Genetic Selection ◽  
Growth Trait ◽  
High Growth ◽  
Gilthead Seabream ◽  
Commercial Diet ◽  
Selection For ◽  
Broodstock Diet

Genetic selection in gilthead seabream (GSB), Sparus aurata, has been undertaken to improve the growth, feed efficiency, fillet quality, skeletal deformities and disease resistance, but no study is available to delineate the effect of genetic selection for growth trait on GSB reproductive performance under mass spawning condition. In this study, high growth (HG) or low growth (LG) GSB broodstock were selected to evaluate the sex steroid hormones, sperm, egg quality and reproductive performance under different feeding regime of commercial diet or experimental broodstock diet containing either fish oil (FO) or vegetable oil (VO) based diet. Under commercial diet feeding phase, broodstock selected for either high growth or low growth did not show any significant changes in the egg production per kg female whereas egg viability percentage was positively (p = 0.014) improved by the high growth trait broodstock group. The experimental diet feeding results revealed that both growth trait and dietary fatty acid composition influenced the reproductive performance of GSB broodstock. In the experimental diet feeding phase, we observed high growth trait GSB males produced a higher number of sperm cells (p < 0.001) and also showed a higher sperm motility (p = 0.048) percentage. The viable egg and larval production per spawn per kg female were significantly improved by the broodstock selected for high growth trait and fed with fish oil-based diet. This present study results signifies that gilthead seabream broodstock selected on growth trait could have positive role in improvement of sperm and egg quality to produce viable progeny.

Developmental morphology and anatomy of the reproductive structures in sunflower (Helianthus annuus): a unified temporal scale

Botany ◽  
2015 ◽  
Vol 93 (5) ◽  
pp. 307-316 ◽  
Author(s):  
L.I. Lindström ◽  
L.F. Hernández
Keyword(s):  
Disease Resistance ◽  
Helianthus Annuus ◽  
Oil Content ◽  
Genetic Selection ◽  
Reproductive Development ◽  
Developmental Morphology ◽  
Male And Female ◽  
Reproductive Structures ◽  
Selection For ◽  
Growing Conditions

In sunflower (Helianthus annuus L.), there has been an intense genetic selection for achenes with agronomic value, such as greater mass, oil content, and disease resistance. However, the information regarding the anatomical events that control their growth and maturation is surprisingly scarce. The aim of the present work was to study sunflower male and female sporogenesis and gametogenesis, as well as cell division and enlargement and tissue differentiation in the ovary and the embryo, linking the timing of these events to two frequently used phenological scales and a thermal time scale. In addition, we propose an ontogenetic scale that integrates the results of the present work to that of previous studies on sunflower reproductive development. The unified scales presented here provide a framework for others to investigate the relationships uncovered in this study in different genetic backgrounds and under different growing conditions.

scholarly journals A Method for Assessing Extent and Sources of Heterogeneity of Residual Variances in Mixed Linear Models

1990 ◽  
Vol 73 (6) ◽  
pp. 1612-1624 ◽  
Author(s):  
J.L. Foulley ◽  
D. Gianola ◽  
M. San Cristobal ◽  
S. Im
Keyword(s):  
Linear Models ◽  
Mixed Linear Models ◽  
Residual Variances
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