scholarly journals SIMULTANEOUS SELECTION IN COFFEE PROGENIES OF MUNDO NOVO BY SELECTION INDICES

2019 ◽  
Vol 14 (1) ◽  
pp. 83
Author(s):  
Guilherme Augusto Teixeira Tassone ◽  
Denis Henrique Silva Nadaleti ◽  
Gladyston Rodrigues Carvalho ◽  
Fernanda Aparecida Castro Pereira ◽  
Vinícius Teixeira Andrade ◽  
...  
Keyword(s):  
Genetic Gain ◽  
Mixed Model ◽  
Block Design ◽  
Selection Index ◽  
Production Costs ◽  
Mixed Model Approach ◽  
Selection Indices ◽  
Bean Yield ◽  
Simultaneous Selection ◽  
Coffee Cultivation

<p>Coffee cultivars that are better adapted and more productive can help reduce production costs and make coffee cultivation more profitable. The Mundo Novo cultivar has stood out as one of the most productive cultivars of <em>Coffea arabica</em> L. Therefore, the aim of this work was to select Mundo Novo progenies with high bean yield capacity and with other agronomic characteristics of interest. We evaluated the bean yield, seed size, plant height, upper and lower canopy diameter, stem diameter, and plant vigor of 24 F<sub>4</sub> progenies and one check cultivar. The experimental design consisted of a randomized complete block design with three replications and experiments were carried out in two sites: São Sebastião do Paraíso (SSP) and Três Pontas (TP), MG, Brazil. The mixed model approach was used to calculate the genotypic value for each progeny, after which the selective accuracy and genetic gain of the two best progenies in each trait were calculated. To summarize, the simultaneous selection index of Mulamba and Mock was used to select the two most promising progenies at each site. In general, the genetic gain was higher at SSP than at TP. In SSP, the most promising progenies were 1 [IAC376-2 (M. Novo) x IAC386-17 (M. Novo)] and 20 [IAC382-10 (M. Novo) x IAC388-20 (M. Novo)]. In TP, the most promising progeny was 22 [H1535/181 (M. Novo) x (S795) 1344/10/5], together with the check (Mundo Novo IAC379/19). The highest selection gain was expressed for bean size (the percentage of beans retained in sieve 17).</p>

scholarly journals Prediction of genetic gain from selection indices for disease resistance in papaya hybrids

Revista CERES ◽  
2012 ◽  
Vol 59 (6) ◽  
pp. 781-786 ◽  
Author(s):  
Marcelo Vivas ◽  
Silvaldo Felipe da Silveira ◽  
Messias Gonzaga Pereira
Keyword(s):  
Powdery Mildew ◽  
Block Design ◽  
Black Spot ◽  
Efficient Procedure ◽  
Favorable Alleles ◽  
Randomized Block Design ◽  
Economic Weight ◽  
Selection Indices ◽  
Simultaneous Selection ◽  
Selection Of

In order to select superior hybrids for the concentration of favorable alleles for resistance to papaya black spot, powdery mildew and phoma spot, 67 hybrids were evaluated in two seasons, in 2007, in a randomized block design with two replications. Genetic gains were estimated from the selection indices of Smith & Hazel, Pesek & Baker, Williams, Mulamba & Mock, with selection intensity of 22.39%, corresponding to 15 hybrids. The index of Mulamba & Mock showed gains more suitable for the five traits assessed when it was used the criterion of economic weight tentatively assigned. Together, severity of black spot on leaves and on fruits, characteristics considered most relevant to the selection of resistant materials, expressed percentage gain of -44.15%. In addition, there were gains for other characteristics, with negative predicted selective percentage gain. The results showed that the index of Mulamba & Mock is the most efficient procedure for simultaneous selection of papaya hybrid resistant to black spot, powdery mildew and phoma spot.

scholarly journals Simultaneous Selection of Sweet-Waxy Corn Ideotypes Appealing to Hybrid Seed Producers, Growers, and Consumers in Thailand

Agronomy ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 87
Author(s):  
Abil Dermail ◽  
Aphakorn Fuengtee ◽  
Kamol Lertrat ◽  
Willy Bayuardi Suwarno ◽  
Thomas Lübberstedt ◽  
...  
Keyword(s):  
Block Design ◽  
Selection Index ◽  
F1 Hybrids ◽  
Eating Quality ◽  
Blind Test ◽  
Early Maturity ◽  
Simultaneous Selection ◽  
Waxy Corn ◽  
Corn Hybrid ◽  
Selection Of

Multi-trait selection helps breeders identify genotypes that appeal to divergent groups of preferences. In this study, we performed simultaneous selection of sweet-waxy corn hybrids on several traits covering the perspectives of consumers (taller kernel depth, better eating quality), growers (early maturity, shorter plant stature, and high ear yield), and seed producers (high flowering synchrony, acceptable seed yield, and good plant architecture). Three supersweet corn lines and 8 waxy corn lines were intercrossed to generate 48 F1 hybrids according to North Carolina Design II, and these genotypes were laid out in a randomized complete block design with 3 replications across 2 seasons between 2017 and 2018. A sensory blind test on sweetness, stickiness, tenderness, and overall liking was conducted to assess the eating quality of steamed corn samples. Two methods of simultaneous selection, namely unweighted selection index and overall rank-sum index (ORSI), were applied to rank crosses, following all targeted groups of preferences. Genetic parameters and genetic gain were estimated to evaluate the effectiveness of those selection methods. Both approaches had similar patterns of preferable realized gain on each given trait and could identify similar top five crosses with only slight order changes, implying that these methods were effective to rank genotypes according to given selection criteria. One of the tested crosses, 101L/TSC-10 × KV/mon, consistently had the highest unweighted selection index in the dry (7.84) and the rainy (7.15) seasons and the lowest ORSI (310), becoming a promising candidate as synergistic sweet-waxy corn hybrid appealing to consumers, growers, and seed producers. The expected ideotypes of sweet-waxy corn hybrid are discussed.

scholarly journals Evaluating General Combining Ability for Multiple Traits in Tetraploid Bahiagrass

2021 ◽  
Author(s):  
Florencia Marcón ◽  
Elsa Andrea Brugnoli ◽  
José A. Rodrigues Nunes ◽  
Valeria A. Gutierrez ◽  
Eric J. Martínez ◽  
...  
Keyword(s):  
Combining Ability ◽  
Morphological Traits ◽  
Recurrent Selection ◽  
Mixed Model ◽  
Selection Index ◽  
General Combining Ability ◽  
Hybrid Vigor ◽  
Mixed Model Approach ◽  
Biplot Analysis ◽  
Model Approach

Abstract Recurrent selection based on combining ability has been successfully used in tetraploid bahiagrass (Paspalum notatum Flüggé) to accumulate heterotic effects and exploit hybrid vigor. However, its efficiency depends on an accurate selection of the best genotypes to form a new recombinant population. The objective of this work was to assess the general combining ability of female parents of bahiagrass based on the performance of their progeny for agronomic and morphological traits using a mixed model approach, biplot analysis and selection index. There were evaluated 29 half-sib families generated by crossing 29 sexual tetraploid genotypes from a sexual synthetic tetraploid population and a group of apomictic tetraploid genotypes. Agronomic and morphological traits were analyzed using a mixed model approach (BLUP). The multi-trait analysis was based on a biplot analysis and a selection index using the family BLUPs. BLUP analysis showed significant differences among families for most of the evaluated traits. Sexual female parents of families 5, 9, 8, 28, 21 and 16 were identified as those with greater general combining ability. Biplot showed variability among families and allowed identifying six sexual parents with greater general combining ability. The same sexual parents that exhibited greater general combining ability by BLUP were identified with greater general combining ability by biplot. Selection index was variable and allowed identifying the same best sexual parents that BLUP and biplot. The three analysis methods were equally effective to estimate general combining ability of a group of sexual parents of tetraploid bahiagrass based on the performance of their progeny.

scholarly journals Genetic parameters and simultaneous selection for root yield, adaptability and stability of cassava genotypes

2013 ◽  
Vol 48 (12) ◽  
pp. 1562-1568 ◽  
Author(s):  
João Tomé de Farias Neto ◽  
Elisa Ferreira Moura ◽  
Marcos Deon Vilela de Resende ◽  
Pedro Celestino Filho ◽  
Sebastião Geraldo Augusto
Keyword(s):  
Genetic Parameters ◽  
Mixed Model ◽  
Block Design ◽  
Genotypic Variation ◽  
Root Yield ◽  
Growing Seasons ◽  
Randomized Block Design ◽  
Simultaneous Selection ◽  
Selection For ◽  
Mixed Model Methodology

The objective of this work was to estimate genetic parameters and to evaluate simultaneous selection for root yield and for adaptability and stability of cassava genotypes. The effects of genotypes were assumed as fixed and random, and the mixed model methodology (REML/Blup) was used to estimate genetic parameters and the harmonic mean of the relative performance of genotypic values (HMRPGV), for simultaneous selection purposes. Ten genotypes were analyzed in a complete randomized block design, with four replicates. The experiment was carried out in the municipalities of Altamira, Santarém, and Santa Luzia do Pará in the state of Pará, Brazil, in the growing seasons of 2009/2010, 2010/2011, and 2011/2012. Roots were harvested 12 months after planting, in all tested locations. Root yield had low coefficients of genotypic variation (4.25%) and broad-sense heritability of individual plots (0.0424), which resulted in low genetic gain. Due to the low genotypic correlation (0.15), genotype classification as to root yield varied according to the environment. Genotypes CPATU 060, CPATU 229, and CPATU 404 stood out as to their yield, adaptability, and stability.

scholarly journals Genetic divergence and genetic gain in bread wheat through selection practices

1970 ◽  
Vol 9 (1) ◽  
pp. 1-4 ◽  
Author(s):  
M Ferdous ◽  
UK Nath ◽  
A Islam
Keyword(s):  
Genetic Diversity ◽  
Disease Resistance ◽  
Genetic Variability ◽  
Plant Breeding ◽  
Bread Wheat ◽  
Genetic Gain ◽  
Genetic Divergence ◽  
Selection Index ◽  
Selection Indices ◽  
Selection Practices

Genetic diversity is essential to meet the diversified goals of plant breeding such as producing cultivars with increased yield, wider adaptation, desirable quality, pest and disease resistance. In this study genetic diversity and selection index of 24 genotypes of bread wheat were evaluated. The performance of 24 wheat genotypes showed that there were significant variations for the characters suggesting the presence of genetic variability among the genotypes. The genotypes were grouped into five clusters viz. I, II, III, IV and V based on Mahalanobis’ D2 statistics. Cluster I and II were the largest group containing six genotypes and the rest three clusters contained four, five and three genotypes respectively. The genotyps belonging to the same group had smaller D2- value than between those belonging to different clusters. Study on selection indices through discriminate function showed that Anza ranked as the best followed by the genotypes Rawal, PBW-373 and Kheri and suggests that these highest scoring genotypes might be recommended for farmers’ cultivation for better yield and it would be expected genetic gain upto 49.77% through selection practices based on the characters studied. Therefore, a crossing programme could be made among the genotypes belonging in cluster I and cluster V will provide maximum heterotic combination, especially for yield of bread wheat. Alternatively, among the studied genotypes Anza could be cultivated for better performance. Keywords: Genetic divergence; Genetic gain; Selection indices; Bread wheatDOI: http://dx.doi.org/10.3329/jbau.v9i1.8736 JBAU 2011; 9(1): 1-4

scholarly journals Simultaneous Selection Index as a Tool for Identification of Stable High Yielding Maydis Leaf Blight Resistant Maize Prebreeding Lines

2021 ◽  
Author(s):  
Anjali Joshi ◽  
Sneha Adhikari ◽  
Narendra Kumar Singh ◽  
Amarjeet Kumar ◽  
Jai Prakash Jaiswal ◽  
...  
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Selection Index ◽  
Leaf Blight ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Genotype X Environment ◽  
Biplot Analysis ◽  
Breeding Programmes ◽  
Simultaneous Selection

Abstract Maize is a crop possessing high adaptability however, large differential genotypic responses have been reported when evaluated under multiple environments. Using randomized complete block design with two replications a total of 169 teosinte derived maize backcross inbred lines (BILs) were evaluated in three different environments namely, E2, E4 and E6 for maydis leaf blight (MLB) resistance and grain yield. Out of these, 73 BILs were identified displaying resistance to MLB in at least one of the environments and were subjected to additive main effect and multiplicative interaction (AMMI) analysis and genotype and genotype X environment (GGE) biplot analysis for identification of lines showing stable and high MLB resistance and grain yield. Highly significant effects of genotype, environment and genotype X environment interaction (GEI) were observed for both the traits studied. AMMI ANOVA for percent disease index (PDI) revealed that highest percentage of total sum of squares (SS) was attributed to GEI (40.55%) while 32.86% and 26.59% was contributed by genotype and environment, respectively. For grain yield largest contribution of 68.02% towards SS was done by genotype component followed by GEI (17.50%) and E (14.48%). GGE biplot analysis identified two mega environments for both PDI (E2, E4/E6) and grain yield (E2/E4, E6). Based on AMMI stability value (ASV), genotype MT-90 (32) was observed to be most stable for PDI. While for grain yield highest stability was displayed by genotype MT-83 (28). Simultaneous selection index (SSI) helped in identification of ten stable high yielding MLB resistant genotypes namely, MT-120 (45), MT-14 (2), MT-166 (62), MT-148 (55), MT-190 (72), MT-37 (9), MT-19 (3), MT-114 (42), MT-77 (27) and MT-94 (35) which could be used in future breeding programmes either as donor of MLB resistance and grain yield or after combining ability analysis these genotypes could be used as parents for development of superior yielding MLB resistant hybrids.

Appropriate selection indices for functional traits in dairy cattle breeding schemes

2018 ◽  
Vol 86 (1) ◽  
pp. 13-18 ◽  
Author(s):  
Arash Chegini ◽  
Navid Ghavi Hossein-Zadeh ◽  
Seyed Hossein Hosseini Moghaddam ◽  
Abdol Ahad Shadparvar
Keyword(s):  
Genetic Gain ◽  
Deterministic Model ◽  
Selection Index ◽  
Index Theory ◽  
Multiple Trait ◽  
Cattle Breeding ◽  
Udder Health ◽  
Selection Indices ◽  
Dairy Cattle Breeding ◽  
Breeding Schemes

AbstractThe objective of this study was to establish different single or multiple trait selection indices to calculate genetic and economic gains by combining some production, reproduction and udder health traits in a population similar to the overall practical situation in Iran, with and without imposing restrictions on genetic change for some traits. The SelAction software was used to perform the analyses based on selection index theory through a deterministic model. Results indicated that among established indices, the index that showed the highest genetic gain for milk yield did not maximize the total genetic and economic gains. Rather, the index that included all production, reproduction and udder health traits yielded the highest genetic and economic gains. When we placed restriction on the selection indices, the economic gain decreased and the amount of reduction depended on the heritability and the correlation of restricted trait(s) with other traits. Generally, regarding the economic genetic gain per generation, the indices based on records of 200 offspring were 4.819% more efficient than those that used information of 100 offspring.

scholarly journals Recurrent selection for resistance to Thrips tabaci in a tropical onion population

2021 ◽  
pp. 538-542
Author(s):  
Gleyce de Oliveira Ferreira ◽  
Carlos Antonio Fernandes Santos ◽  
José Adalberto de Alencar ◽  
Danillo Olegário Matos da Silva
Keyword(s):  
Genetic Gain ◽  
Recurrent Selection ◽  
Block Design ◽  
Thrips Tabaci ◽  
Production Costs ◽  
Onion Thrips ◽  
Selection Cycle ◽  
Breeding Programmes ◽  
Selection For ◽  
Bulb Yield

Recurrent selection for resistance to onion Thrips tabaci has not been well studied by breeding programmes. Onion thrips is a pest of major concern and is controlled by insecticide spraying, raising production costs and potentially damaging the environment. This study aimed to estimate onion bulb yield genetic gain through six cycles in the ‘BRS Alfa São Francisco’ developed by recurrent selection for T. tabaci resistance. Experiments were carried out in a randomised block design, with three replications, in two locations. The degree of infestation in plants was evaluated five times after transplanting, as well as plant architecture traits and bulb yield. The latest selection cycle presented bulb commercial yield of 32.1 t.ha-1, while the base population ‘Alfa Tropical’ and IPA 10 check cultivar 15.9 and 14.0 t.ha-1, respectively (p<0.01). The broad sense heritability values ranged from 0.65 to 0.74 for bulb yield. The mean genetic gain was 1.0 t.ha-1 or 6% per selection cycle, indicating the efficiency of the method to increase the frequency of favourable alleles for thrips resistance and the possibility of onion cultivation in the total absence of insecticide applications to control this pest, or a reduction in their number

scholarly journals Expected Genetic Contributions and Their Impact on Gene Flow and Genetic Gain

Genetics ◽  
1999 ◽  
Vol 153 (2) ◽  
pp. 1009-1020 ◽  
Author(s):  
J A Woolliams ◽  
P Bijma ◽  
B Villanueva
Keyword(s):  
Gene Flow ◽  
Genetic Gain ◽  
Overlapping Generations ◽  
Predictive Accuracy ◽  
Index Theory ◽  
Previous Theory ◽  
Selection Indices ◽  
Breeding Groups ◽  
Genetic Contributions

Abstract Long-term genetic contributions (ri) measure lasting gene flow from an individual i. By accounting for linkage disequilibrium generated by selection both within and between breeding groups (categories), assuming the infinitesimal model, a general formula was derived for the expected contribution of ancestor i in category q (μi(q)), given its selective advantages (si(q)). Results were applied to overlapping generations and to a variety of modes of inheritance and selection indices. Genetic gain was related to the covariance between ri and the Mendelian sampling deviation (ai), thereby linking gain to pedigree development. When si(q) includes ai, gain was related to E[μi(q)ai], decomposing it into components attributable to within and between families, within each category, for each element of si(q). The formula for μi(q) was consistent with previous index theory for predicting gain in discrete generations. For overlapping generations, accurate predictions of gene flow were obtained among and within categories in contrast to previous theory that gave qualitative errors among categories and no predictions within. The generation interval was defined as the period for which μi(q), summed over all ancestors born in that period, equaled 1. Predictive accuracy was supported by simulation results for gain and contributions with sib-indices, BLUP selection, and selection with imprinted variation.

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