scholarly journals Stability of Rice Mutant Lines By Linear Mixed Model And Suggestion A New Index Based For Yield Performance And Stability

2021 ◽  
Author(s):  
Peyman Sharifi ◽  
Ali Akbar Ebadi ◽  
Mohammad Taher Hallajian
Keyword(s):  
Mixed Model ◽  
Linear Mixed Model ◽  
Block Design ◽  
Weighted Average ◽  
Principal Component ◽  
Fars Province ◽  
Yield Performance ◽  
Rice Mutant ◽  
Superior Genotypes ◽  
Mutant Lines

Abstract Fourteen rice mutant lines with four cultivars were evaluated in a randomized complete block design with three replications in three locations in Iran (Rasht, ChaparSar and Fars province) during two growing seasons (2014-2016). In addition, a new index namely as equivalent index of stability and performance (EISP) is suggested for simultaneous evaluation of yield performance and stability. The heat map of yield performance and WAASB (weighted average of absolute scores based on BLUP (best linear unbiased prediction)) identified G3, G9, G6, G12 and G5 as highly productive and stable genotypes. Based on the analysis by multi-trait stability index (MTSI) G7, G5 and G1 were selected as superior genotypes. The top five superior genotypes based on harmonic mean and of the relative performance of genotypic values (HMRPGV) were G5, G12, G7, G2 and G1. For verification of EISP, its value was calculated for some of multi and univariate stability indices and identified genotypes G5 and G12 as the best ones. Principal component analysis indicated yield positively correlated with HMGV, RPGV, HMRPGV, EIS2P EIbP and EIPiP. In conclusion, G12, G5 and G9 had a significant advantage over all genotypes and could undergo selection or cultivar introduction processes.

scholarly journals PSVII-9 Effects of a multi-species direct-fed microbial on growth performance and carcass characteristics of grow-finish pigs

2019 ◽  
Vol 97 (Supplement_2) ◽  
pp. 216-216
Author(s):  
Mariana Boscato Menegat ◽  
Joel M DeRouchey ◽  
Jason C Woodworth ◽  
Mike D Tokach ◽  
Steve S Dritz ◽  
...  
Keyword(s):  
Growth Performance ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Block Design ◽  
Control Diet ◽  
Random Effect ◽  
Carcass Characteristics ◽  
Experimental Unit ◽  
Feeding Duration ◽  
Corn Distillers

Abstract This study was conducted to determine the effects of a multi-species direct-fed microbial (DFM) product based on lactic acid bacteria and Bacillus subtilis on growth performance and carcass characteristics of grow-finish pigs. A total of 1,188 pigs (PIC 359 × 1050; initially 25.8 kg BW) were used in a 121-d growth trial with 27 pigs/pen and 22 pens/treatment. Pigs were allotted to treatments based on initial BW in a randomized complete block design. Treatments included a control diet and the control diet with added DFM (BiOWiSH Technologies Inc., Cincinnati, OH) included at 0.055% of the diet at the expense of corn. Diets were based on corn, distillers dried grains with solubles, and soybean meal and fed in four dietary phases. Data were analyzed using a linear mixed model (PROC GLIMMIX, SAS®) with treatment as fixed effect, block as random effect, and pen as experimental unit. Overall (d 0 to 121), pigs fed the control diet had greater ADG (P < 0.05) and final BW (P < 0.001) compared to pigs fed the DFM diet (Table 1). There was no evidence for differences (P > 0.05) in ADFI or G:F between treatments. The difference in final BW resulted in heavier (P < 0.05) HCW in control pigs compared to DFM pigs, but no evidence for differences (P > 0.05) was observed in carcass yield, backfat, loin depth, and percentage lean between treatments. In conclusion, the inclusion of this multi-species DFM in growing-finishing diets reduced ADG in this commercial study. This response could be related to inclusion rate, feeding duration, or other factors not identified in this study, warranting further research to characterize the effects on pig performance.

scholarly journals Repeatability of biometric and fruit and seed yield traits of sacha inchi

2017 ◽  
Vol 47 (3) ◽  
pp. 195-202 ◽  
Author(s):  
Mágno Sávio Ferreira VALENTE ◽  
Maria Teresa Gomes LOPES ◽  
Francisco Célio Maia CHAVES ◽  
Ariane Mendes OLIVEIRA ◽  
Diego Rodrigo Bilby de FREITAS
Keyword(s):  
Block Design ◽  
Principal Component ◽  
Fruit Weight ◽  
Yield Traits ◽  
Principal Component Method ◽  
Randomized Block Design ◽  
Superior Genotypes ◽  
Sacha Inchi ◽  
Efficient Selection ◽  
Number Of Seeds

ABSTRACT Repeatability allows an estimation of the number of evaluations needed to optimize the selection of superior genotypes, with consequent effects on the research costs in terms of financial and human resources. The objective of this study was to estimate the coefficient of repeatability of biometric and yield traits, related to fruits and seeds of sacha inchi (Plukenetia volubilis), and to define the number of evaluations required for an efficient selection and evaluation of genotypes of the species. A total of 37 non-domesticated accessions were evaluated for 19 months in a randomized block design with 5 replications and 2 plants per plot. The total number of fruits, total number of seeds, total fruit weight, mean fruit weight, and number of seeds per fruit of the accessions were evaluated by monthly sampling. Additionally, seed biometry was assessed in a sample of 30 seeds per accession. Repeatability coefficients were estimated by analysis of variance, principal components and structural analysis. The principal component method based on the covariance matrix was the most appropriate for establishing repeatability estimates of sacha inchi, due to the cyclical nature of the crop. Superior genotypes of the species can be selected for yield-related traits with about 90% accuracy, from 5 harvests (months) onwards. To ensure this accuracy level, it would be necessary to evaluate a minimum of 5 and 25 fruits to determine mean fruit weight and number of seeds per fruit, respectively, and 39 seeds would be required to evaluate the biometric traits.

scholarly journals PSV-7 Effects of a Bacillus-based probiotic on sow and litter performance, fecal consistency, and fecal microflora

2019 ◽  
Vol 97 (Supplement_2) ◽  
pp. 192-193
Author(s):  
Mariana Boscato Menegat ◽  
Kiah M Gourley ◽  
Michaela B Braun ◽  
Joel M DeRouchey ◽  
Jason C Woodworth ◽  
...  
Keyword(s):  
Bacillus Subtilis ◽  
Litter Size ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Block Design ◽  
Experimental Unit ◽  
Bacillus Sp ◽  
Fecal Microflora ◽  
Microbial Analysis ◽  
Cross Fostering

Abstract This study evaluated the effects of supplementation of sow diets with Bacillus subtilis C-3102 (Calsporin®, Calpis Co. Ltd., Tokyo, Japan) during gestation and lactation. A total of 29 sows (DNA 241) with confirmed pregnancy on d 30 of gestation were assigned to dietary treatments in a randomized complete block design based on BW and parity. Treatments were: control diet or probiotic diet with Calsporin® at 500,000 and 1,000,000 CFU/g of diet in gestation and lactation, respectively. Data were collected on d 30 and 112 of gestation and d 2 and 19 of lactation. Fecal consistency was assessed on a 1-to-5 scale for each litter. Fecal samples were collected from sows and piglets for microbial analysis by culture method and bacterial quantification of Bacillus subtilis C-3102, total Bacillus sp., Lactobacillus sp., Clostridium perfringens, Salmonella spp., Enterococcus sp., Enterobacteriaceae, total aerobes, and total anaerobes. Data were analyzed using a linear mixed model (PROC GLIMMIX, SAS®) with sow as experimental unit. Probiotic-fed sows had a marginally significant (P < 0.10) increase in lactation ADFI, but it did not result (P > 0.10) in improvement in sow or piglet weight at weaning. Probiotic-fed sows had a marginally significant (P < 0.10) larger litter size after cross-fostering, but it did not result (P > 0.10) in larger litter size at weaning. Fecal consistency of piglets was not influenced (P > 0.10) by sow diet. Microbial analysis revealed an increase (P < 0.01) in Bacillus subtilis C-3102 and, consequently, total Bacillus sp. in fecal microflora of probiotic-fed sows and piglets born and nursed by probiotic-fed sows. In conclusion, this study demonstrates that providing Calsporin® to sows during gestation and lactation improved lactation ADFI and cross-fostering litter size, although further larger-scale studies are required for elucidation. The probiotic diet did not influence fecal consistency, but altered the fecal microbial population in sows and nursing piglets by increasing total Bacillus sp.

scholarly journals Multivariate linear mixed model enhanced the power of identifying genome-wide association to poplar tree heights in a randomized complete block design

2021 ◽  
Author(s):  
Yuhua Chen ◽  
Hainan Wu ◽  
Wenguo Yang ◽  
Wei Zhao ◽  
Chunfa Tong
Keyword(s):  
Mixed Model ◽  
Linear Mixed Model ◽  
Block Design ◽  
Tree Height ◽  
Genome Wide Association ◽  
Hybrid Population ◽  
Time Points ◽  
Genome Wide ◽  
Randomized Complete Block Design ◽  
Traditional Breeding

Abstract With the advances in high-throughput sequencing technologies, it is not difficult to extract tens of thousands of single nucleotide polymorphisms (SNPs) across many individuals in a fast and cheap way, making it possible to perform genome-wide association studies (GWAS) of quantitative traits in outbred forest trees. It is very valuable to apply traditional breeding experiments in GWAS for identifying genome variants associated to ecologically and economically important traits in Populus. Here, we reported a GWAS of tree height measured at multiple time points from a randomized complete block design (RCBD), which was established with clones from an F1 hybrid population of Populus deltoides and Populus simonii. A total of 22,670 SNPs across 172 clones in the RCBD were obtained with restriction site-associated DNA sequencing (RADseq) technology. The multivariate mixed linear model was applied by incorporating the pedigree relationship matrix of individuals to test the association of each SNP to the tree heights over 8 time points. Consequently, 41 SNPs were identified significantly associated to the tree height under the p-value threshold determined by Bonferroni correction at the significant level of 0.01. These SNPs were distributed on all but 2 chromosomes (Chr02 and Chr18) and explained the phenotypic variance ranged from 0.26% to 2.64%, amounting to 63.68% in total. Comparison with previous mapping studies for poplar height as well as the candidate genes of these detected SNPs were also investigated. We therefore demonstrated that the application of multivariate linear mixed model to the longitudinal phenotypic data from the traditional breeding experimental design facilitated to identify far more genome-wide variants for tree height in poplar. The significant SNPs identified in this study would enhance understanding of molecular mechanism for growth traits and would accelerate marker-assisted breeding programs in Populus.

scholarly journals Genetic Analysis of Yield and Quality Traits in Switchgrass Based on Population Crosses

Agronomy ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 2220
Author(s):  
Serge Edmé ◽  
Rob Mitchell
Keyword(s):  
Genetic Variation ◽  
Combining Ability ◽  
Dry Matter ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Ethanol Yield ◽  
Lignin Content ◽  
Block Design ◽  
Likelihood Method ◽  
Single Pair

Obtaining greater genetic gains, particularly for biomass yield, requires a good understanding of the gene action governing the inheritance of traits with economic importance in switchgrass (Panicum virgatum L.). Individual genotypes from three different accessions were crossed in single-pair matings with reciprocals to assess the relative importance of additive to nonadditive genetic variation and the potential of using inter-ecotypic crosses to improve dry matter yield (DMY), in vitro dry matter digestibility (IVDMD), lignin content (ADL and KL), and ethanol yield (ETOH). Crosses and four reference populations were planted in a randomized complete block design with eight replications of single family-rows plots, with five-plants each and 1 m spacings. A linear mixed model was applied as per the restricted maximum likelihood method, integrated with a pedigree tracing back to the original founders of these parental populations, and augmented with the designation of four genetic groups. Variation due to SCA (specific combining ability) was predominant for all traits, contributing from 20% to 57% of the total phenotypic variation and with Baker’s ratios (GCA/SCA) varying from 0.003 to 0.67. Heritability values calculated at the fullsib-family mean level were moderate to very high. Variation due to GCA (general combining ability) was detected with a lesser significance for DMY and ETOH. A reciprocal GCA effect was present in the form of maternal inheritance for DMY, suggesting the use of the highest biomass-yielding parent as female in inter-ecotypic breeding. Selecting and deploying fullsib families, deploying clonal hybrids, and adopting an introgression breeding approach are all possibilities available to switchgrass breeders to exploit the complementary genes from this germplasm and capitalize on the non-additive genetic variation present in these crosses.

205 Dietary Strategies to Limit Average Daily Gain of Late Finishing Pigs

2021 ◽  
Vol 99 (Supplement_1) ◽  
pp. 64-64
Author(s):  
Devin Goehring ◽  
Katherine A McCormick ◽  
Julie Mahoney ◽  
Rodney Hinson
Keyword(s):  
Mixed Model ◽  
Linear Mixed Model ◽  
Block Design ◽  
Average Daily Gain ◽  
Finishing Pigs ◽  
Compensatory Gain ◽  
And Gender ◽  
Dietary Treatments ◽  
Dietary Strategies ◽  
Daily Gain

Abstract A total of 2,164 pigs [DNA610 x DNA241; initially 100.7 ± 2.14 kg body weight (BW)] were used in a 54.1 ± 3.85-day study to determine dietary strategies to limit average daily gain (ADG) in late finishing pigs raised in a commercial environment. Mixed-sex pens (20.0 ± 0.85 pigs/pen) balanced by initial BW and gender ratio were randomly assigned to 1 of 4 dietary treatments fed ad libitum with 27 replications each: (1) Nutritionally replete corn soybean-meal control (CTRL), (2) Treatment 1 with 21% reduced lysine and other amino acids (AAR), (3) Corn/vitamin/mineral diet (CVM), and (4) Treatment 3 fed for 21 days then switched to CTRL. Data were analyzed as a randomized complete block design using a linear mixed model. Relative to CTRL, feeding AAR or CVM for 21 days reduced ADG (P &lt; 0.001), average daily feed intake (ADFI; P = 0.005), and gain-to-feed (G:F, P &lt; 0.001). Over 55-days, AAR and CVM diets reduced (P &lt; 0.001) cumulative ADG, ADFI, G:F, and final BW compared to CTRL. Transitioning to CTRL diet from CVM diet after 21-days increased ADG (P &lt; 0.001) and improved G:F (P &lt; 0.001) from day 21 to marketing compared to 55-day CTRL, AAR, and CVM; nevertheless, the compensatory CTRL period was insufficient for the 21-day CVM fed pigs to fully compensate resulting in reduced cumulative BW, ADG (P &lt; 0.001) and poorer G:F (P &lt; 0.001) than the 55-day CTRL. All holding strategies decreased (P &lt; 0.001) carcass yield, hot carcass weight (HCW), and loin depth compared to CTRL. Utilizing a CVM diet for 21 or 55 days increased (P &lt; 0.001) backfat compared to CTRL or AAR. In summary, utilizing lysine deficient or corn/vitamin/mineral diets can limit ADG along with poorer G:F. Transitioning to a non-holding diet after feeding a corn/vitamin/mineral diet for 21-days resulted in compensatory gain, but reductions in growth performance and carcass traits remained evident.

scholarly journals Performance Evaluation of Rice Mutant Line against Two Widely Grown Rice Cultivar in Mymensingh Region of Bangladesh

2021 ◽  
pp. 41-48
Author(s):  
M. A. Rouf ◽  
N. A. Khan ◽  
M. L. A. Mueez ◽  
N. I. Toma ◽  
S. Mahmud ◽  
...  
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Rice Cultivar ◽  
Mutant Line ◽  
Rice Varieties ◽  
Rice Mutant ◽  
Randomized Complete Block Design ◽  
The Stability ◽  
Mutant Lines ◽  
On Farm

Growth performance, yield components and total grain yield of a rice mutant lines were evaluated againest two popular rice varieties on farm experiments within five different upazila of Mymensingh region to find out the better cultivar on the besis of yield and duration. The experiment was laid out in a randomized complete block design (RCBD) with three replications. The study was conducted for two consecutive season that ensure the stability of the mutant line. The results revealed that the cultivar RM(2)-40-©-4-2-8 was recorded highest effective tiller and maximum filled grain in most of the location. Among the all cultivar RM(2)-40-©-4-2-8 was recorded maximum grain yield in most of the location for two consecutive year which was statistically significant from other cultivar.

scholarly journals GENETIC DIVERSITY IN SODIUM AZIDE-INDUCED BARLEY MUTANT LINES

2019 ◽  
Vol 17 (4) ◽  
pp. 385-391
Author(s):  
B. Dyulgerova ◽  
N. Dyulgerov
Keyword(s):  
Sodium Azide ◽  
Block Design ◽  
Principal Component ◽  
Grain Weight ◽  
Spike Length ◽  
Grain Number ◽  
Grain Number Per Spike ◽  
Induced Mutants ◽  
Peduncle Length ◽  
Mutant Lines

The aim of this study was to assess the diversity among sodium azide-induced mutants of winter 2-rowed barley for 8 quantitative traits of by multivariate analyses. Forty-seven mutant lines and their parental varieties Kuber, Zagorets, Asparuh, and Imeon were tested in complete block design with four replications. The studied traits included spike length, awn length, peduncle length, spikelet and grain number per spike, grain weight per spike, 1000 grain weight and grain yield. Principal component and cluster analyses were used for the assessment of mutants. Traits spike length, spikelet number per a spike, grain number per spike and grain weight per spike had the largest contribution to the divergence between mutants. The cluster and principal component analyses employed in the present study divided the mutant lines into different groups, which were deviated significantly from the respective parents. Diverse mutant lines with improved yield-related traits suitable for including in winter barley breeding program were identified.

scholarly journals Adaptability and stability of early carioca beans by mixed models

2020 ◽  
Vol 36 ◽  
Author(s):  
Thalyson Vasconcelos Lima ◽  
Paulo Ricardo Dos Santos ◽  
Tâmara Rebecca Albuquerque De Oliveira ◽  
Maxwel Rodrigues Nascimento ◽  
Kleyton Danilo da Silva Costa ◽  
...  
Keyword(s):  
Genetic Parameters ◽  
Mixed Model ◽  
Block Design ◽  
Phenotypic Expression ◽  
Environment Interaction ◽  
Randomized Block Design ◽  
Specific Performance ◽  
Superior Genotypes ◽  
The Mean ◽  
Selection Of

The genotype x environment interaction represents one of the major selection challenges due to the difficulty in identifying effectively superior genotypes. The present study aimed at estimating genetic parameters and selecting genotypes of early Carioca beans by analyzing simultaneous attributes, including yield, adaptability, and stability. In the agricultural year of 2015 and 2016, three trials were conducted, using a randomized block design, with three repetitions each, in the Agreste and Sertao regions of Pernambuco State. The genetic parameters were estimated using the mixed model procedure, and the selection was based on the harmonic mean of the relative performance of genetic values (MHPRVG, abbreviation in Portuguese) method. The environments influenced the phenotypic expression of the bean genotypes during both years, setting a specific adaptation. The mean heritability of the genotypes regarding yield exhibited low magnitude values  in the trials of 2015 (5.78%) and 2016 (13.77%), indicating costly conditions for the selection of the improved genotypes. Genotype CNFC 15856 was selected, considering the genetic gain predicted for yield, by the average and specific performance in the three environments, and by the simultaneous attributes of yield, adaptability, and stability. The MHPRVG method enables the optimized selection of genotypes considering yield, stability, and adaptability; therefore, it should be included in the recommended selective criteria for agronomically superior genotypes in commercial plantations.

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