Estimates of selection parameters associated with protein and oil content of soybean seeds (Glycine max (L.) Merr.)

1977 ◽  
Vol 28 (2) ◽  
pp. 211 ◽  
Author(s):  
R Shorter ◽  
DE Byth ◽  
VE Mungomery
Keyword(s):  
Seed Yield ◽  
Variance Component ◽  
Selection Index ◽  
Chemical Yield ◽  
Indirect Selection ◽  
Direct Selection ◽  
Yield Traits ◽  
Oil Percentage ◽  
Selection For ◽  
Location Interaction

Three crosses of soybean involving United States and other germplasm were examined in the F3 and F4 generations at two locations, one near the coast, the other on the Darling Downs. Line and line x location interaction variances within crosses for most traits were almost all significant, except for protein, oil, and protein plus oil yield where line variances were non-significant when data were combined over locations. Line variances were considerably smaller for all traits when estimated across, rather than within, locations. For protein, oil, and protein plus oil percentage, the line x location interaction variance component generally was smaller than the line variance component in two crosses, but larger in a third even though the latter cross had the largest line variance for these traits. The line x location interactions may have been related in some cases to lower protein and oil percentages of late-maturing lines in that location where cold conditions prevailed late in the season. Heritability percentages computed from F4 variance components ranged from 49 to 89% and were largest for the chemical pexentage traits within locations. Standard unit heritability percentages estimated from F3–F4 generations were lower than those computed via the variance component method, and approached zero for oil percentage, protein plus oil percentage, and the chemical yield traits in some crosses if the generations were grown in different locations. Genotypic correlations between protein percentage and seed yield ranged from –0.50 to 0.16 across crosses and were opposite in sign to those between oil percentage and seed yield. Genotypic and phenotypic correlations between protein and oil percentage were highly negative in two crosses (–0.62 to –0.96) but much less negative in the third cross (–0.24 to –0.35). Predicted genetic advance (percentage of population mean) ranged from 5.9 to 26.1% for the chemical yield traits and from 1.5 to 6.3% for protein or oil percentage. Indirect selection for chemical yield through seed yield was 90–109% as efficient as direct selection, and a selection index that combined seed yield and either protein, oil, or protein plus oil percentage generally was no more efficient than direct selection for the corresponding chemical yield trait. Indirect selection for chemical yield through chemical percentage was much less efficient than direct selection for chemical yield.

scholarly journals Early generation selection strategy for yield and yield components in white oat

2005 ◽  
Vol 62 (4) ◽  
pp. 357-365 ◽  
Author(s):  
Giovani Benin ◽  
Fernando Irajá Félix de Carvalho ◽  
Antônio Costa de Oliveira ◽  
Claudir Lorencetti ◽  
Igor Pires Valério ◽  
...  
Keyword(s):  
Grain Yield ◽  
Indirect Selection ◽  
Grain Weight ◽  
Yield Potential ◽  
High Yield ◽  
Direct Selection ◽  
Selection Strategy ◽  
Breeding Method ◽  
Growing Seasons ◽  
Selection For

Several studies have searched for higher efficiency on plant selection in generations bearing high frequency of heterozygotes. This work aims to compare the response of direct selection for grain yield, indirect selection through average grain weight and combined selection for higher yield potential and average grain weight of oat plants (Avena sativa L.), using the honeycomb breeding method. These strategies were applied in the growing seasons of 2001 and 2002 in F3 and F4 populations, respectively, in the crosses UPF 18 CTC 5, OR 2 <FONT FACE=Symbol>´</FONT> UPF 7 and OR 2 <FONT FACE=Symbol>´</FONT> UPF 18. The ten best genetic combinations obtained for each cross and selection strategy were evaluated in greenhouse yield trials. Selection of plants with higher yield and average grain weight might be performed on early generations with high levels of heterozygosis. The direct selection for grain yield and indirect selection for average grain weight enabled to increase the average of characters under selection. However, genotypes obtained through direct selection presented lower average grain weight and those obtained through the indirect selection presented lower yield potential. Selection strategies must be run simultaneously to combine in only one genotype high yield potential and large grain weight, enabling maximum genetic gain for both characters.

Selection on ram 18-month weight to improve lamb growth rate

1983 ◽  
Vol 36 (2) ◽  
pp. 159-164
Author(s):  
D. Croston ◽  
J. L. Read ◽  
D. W. Jones ◽  
D. E. Steane ◽  
C. Smith
Keyword(s):  
Growth Rate ◽  
Live Weight ◽  
Indirect Selection ◽  
Direct Selection ◽  
Selection For ◽  
The Relationship ◽  
Lamb Growth

ABSTRACTThirteen pairs of Suffolk rams were selected on high and low 18-month adjusted live weight from six farms over 2 years, to establish the relationship between 18-month weight and early lamb growth. Progeny were first produced in recorded crossbred flocks (618 lambs) and then in an experimental flock of crossbred ewes (1083 lambs). Different results were obtained from the recorded and experimental flocks. The regressions of lamb 12- to 13-week weight on ram 18-month weight (within farm deviation) were 0·053 ± 0·022 kg and –0·004 ± 0·020 kg, respectively. These regressions for indirect selection correspond to ‘effective’ heritabilities for direct selection for lamb growth of 0·18 ± 0·07 and 0·02 ± 0·06 respectively. Improvement of early Iamb growth is discussed and it is concluded that selection for 18-month weight is unlikely to be a useful method.

Opportunities for genetic improvement of lamb survival

2010 ◽  
Vol 50 (12) ◽  
pp. 1017 ◽  
Author(s):  
F. D. Brien ◽  
M. L. Hebart ◽  
D. H. Smith ◽  
J. E. Hocking Edwards ◽  
J. C. Greeff ◽  
...  
Keyword(s):  
Rectal Temperature ◽  
Selection Index ◽  
Genetic Correlations ◽  
Direct Selection ◽  
Reproduction Rate ◽  
Crown Rump Length ◽  
Selection For ◽  
Lamb Survival ◽  
Net Reproduction ◽  
Birth Time

Data on lamb survival and associated traits involving records from 15 192 lambs, 6308 dams and 284 sires from the Sheep CRC’s Information Nucleus were studied. Lamb survival to 3 days of age and to weaning was 85 and 80%, respectively, and heritability (±s.e.) was 0.014 ± 0.010 and 0.010 ± 0.010, respectively. Of the 14 traits recorded at birth, time taken for the lamb to bleat, rectal temperature and crown–rump length had the highest genetic correlations with lamb survival to weaning (–0.43 ± 0.32, 0.56 ± 0.33 and –0.38 ± 0.36, respectively). Under selection for a multi-trait objective including net reproduction rate (but not lamb survival), survival was predicted to decline genetically by 0.25 lambs weaned per 100 lambs born.year, although this was reversed to a gain of 0.20 lambs weaned per 100 lambs born.year by including the trait in the breeding objective and using 50 half-sib and 50 progeny records per selection candidate. Accuracy of selection for lamb survival was improved to 0.735 with a selection index of lamb survival to weaning, lamb ease, birth coat score, time taken to bleat, rectal temperature and crown–rump length, with the addition of 50 half-sibs and 50 progeny records per candidate. Our results suggest that unless actively incorporated into breeding objectives, lamb survival may genetically decline; however, gains are possible with direct selection using half-sib and progeny records. The addition of indirect selection criteria for lamb survival can further improve accuracy, up to 93.4%, but requires further investigation.

Carbon Isotope Discrimination and Indirect Selection for Seed Yield in Lentil

Crop Science ◽  
1995 ◽  
Vol 35 (3) ◽  
pp. 679-684 ◽  
Author(s):  
A. Matus ◽  
A. E. Slinkard ◽  
C. Kessel
Keyword(s):  
Carbon Isotope ◽  
Seed Yield ◽  
Carbon Isotope Discrimination ◽  
Indirect Selection ◽  
Isotope Discrimination ◽  
Selection For

Usefulness of some components of the lactation curve for selection in Murrah buffaloes

1983 ◽  
Vol 36 (2) ◽  
pp. 277-283
Author(s):  
J. S. Cheema ◽  
S. B. Basu
Keyword(s):  
Milk Yield ◽  
Genetic Correlations ◽  
Indirect Selection ◽  
Direct Selection ◽  
Single Factor ◽  
Daily Production ◽  
Murrah Buffaloes ◽  
Lactation Curve ◽  
Selection For ◽  
Initial Peak

ABSTRACTThe study was based on 1156 lactation records of 545 Murrah buffaloes. Initial milk yield, peak yield, ascending phase milk yield and days to attain peak daily production, the means of which were 26·7 kg, 10·3 kg, 407 kg and 58·9 days respectively, were all affected by period, season and parity of calving. Heifers recorded the least initial milk yield and peak yield and took the longest time to reach peak production. Peak yield was the most important single factor (R2 = 0·41) in causing variation in 43-week milk yield. The heritability estimates for initial, peak and ascending phase milk yields and days to attain peak yield were 0·35, 0·51, 0·27 and 0·13 respectively, whilst that for 43-week milk yield was 0·18. Peak yield had the highest phenotypic (rP = 0·64) and genetic correlations (ra = 0·68 ± 0·19) with the 43-week milk yield. Other genetic correlations with the 43-week milk yield were low and non-significant. The results indicated that indirect selection for peak yield would be more effective than direct selection for improving the 43-week milk yield in buffaloes.

scholarly journals The evolutionary origins of modularity

2013 ◽  
Vol 280 (1755) ◽  
pp. 20122863 ◽  
Author(s):  
Jeff Clune ◽  
Jean-Baptiste Mouret ◽  
Hod Lipson
Keyword(s):  
Biological Networks ◽  
Network Performance ◽  
Indirect Selection ◽  
Direct Selection ◽  
Network Nodes ◽  
Evolutionary Origins ◽  
Modular Networks ◽  
Key Driver ◽  
Selection For ◽  
The Cost

A central biological question is how natural organisms are so evolvable (capable of quickly adapting to new environments). A key driver of evolvability is the widespread modularity of biological networks—their organization as functional, sparsely connected subunits—but there is no consensus regarding why modularity itself evolved. Although most hypotheses assume indirect selection for evolvability, here we demonstrate that the ubiquitous, direct selection pressure to reduce the cost of connections between network nodes causes the emergence of modular networks. Computational evolution experiments with selection pressures to maximize network performance and minimize connection costs yield networks that are significantly more modular and more evolvable than control experiments that only select for performance. These results will catalyse research in numerous disciplines, such as neuroscience and genetics, and enhance our ability to harness evolution for engineering purposes.

scholarly journals Heterosis in soybeans for seed yield components and associated traits

2002 ◽  
Vol 45 (4) ◽  
pp. 401-412 ◽  
Author(s):  
Fábio Pandini ◽  
Natal Antonio Vello ◽  
Ângela Celis de Almeida Lopes
Keyword(s):  
Seed Yield ◽  
Yield Components ◽  
Seed Weight ◽  
Aerial Part ◽  
Agronomic Traits ◽  
Indirect Selection ◽  
Seed Yield Components ◽  
Per Se ◽  
Selection For ◽  
Number Of Seeds

The objective of this research was to quantify heterosis of agronomic traits and evaluate direct and indirect correlations among seed yield and other traits. A diallel involving six parents was grown in two localities. Seed yield (PG), one-hundred seed weight (PCS), number of pods per plant (NV), weight of aerial part of the plant (PPA), harvest index (IC) and number of seeds per pod (NGV) were evaluated. Positive values of heterosis were detected for all traits. Estimates of heterosis components were significative for most traits, showing effects of aditivity and dominance. The specific heterosis was more important than the variety heterosis, mainly in the locality Anhembi. MTBR-95-123800 presented the best potential per se and as parent in crosses, but it was excelled by some of the hybrids in the two localities. Number of pods per plant demonstrated to be suitable for indirect selection for PG.

scholarly journals Gene Effects and Heritability for Yield Traits in Tomato (Solanum Lycopersicum L.)

2021 ◽  
Vol 50 (3) ◽  
pp. 453-465
Author(s):  
Ravindra Kumar ◽  
K Srivastava
Keyword(s):  
Plant Height ◽  
Quantitative Traits ◽  
Fruit Weight ◽  
Direct Selection ◽  
Yield Traits ◽  
Generation Mean Analysis ◽  
Gene Effects ◽  
Solanum Lycopersicum L ◽  
Crop Varieties ◽  
Selection For

Generation mean analysis is a key determinant in designing the appropriate breeding approaches for implementing new desirable character/s in crop varieties and also in studying inheritance of quantitative traits. Parents, F1, F2 and backcrosses exhibited significant digenic interactions in the majority of cross combinations in tomato. Cross combinations and characters indicated the adequacy of simple additive dominance for 50% flowering (CO3 х Floradade, Pant T3 х Azad T5), branches/plant and plant height (CO3 х Floradade, Pant T3 х Kashi Sharad), and fruit/cluster (CO3 х Floradade) indicating absence of non-allelic interactions. Duplicate type of epistasis occurred for 50% flowering (CO3 х Floradade, Kashi Amrit х Kashi Sharad), branches/plant (CO3 х Floradade, Kashi Amrit х Kashi Sharad, Pant T3 х Kashi Sharad), plant height (CO3 х Floradade, Pant T3 х Kashi Sharad), fruit/plant (CO3 х Floradade, Pant T3 х Azad T5, Kashi Amrit х Kashi Sharad, Pant T3 х Kashi Sharad), fruit weight (CO3 х Floradade, Pant T3 х Azad T5), fruit/cluster (Kashi Amrit х Kashi Sharad, Pant T3 х Kashi Sharad), yield/plant (CO3 х Floradade, Punjab Upma х Azad T5, Pant T3 х Kashi Sharad) indicating selection strength should be lenient in the earlier and rapid in later generations because advancement should be through selection. Characters governed by additive components were predominant in fruit/plant and plant height, indicating direct selection for improvement of these traits. Bangladesh J. Bot. 50(3): 453-465, 2021 (September)

Genetic Enhancement of Yield Traits in Chickpea (Cicer arietinum L.): An Analysis of Selection in Early Segregating Generations

2020 ◽  
Author(s):  
B.S. Patil ◽  
C. Bharadwaj ◽  
A.G. Vijaykumar
Keyword(s):  
Seed Weight ◽  
Indirect Selection ◽  
Genetic Enhancement ◽  
Yield Traits ◽  
Seed Traits ◽  
Cicer Arietinum L ◽  
Plant Seeds ◽  
Selection For ◽  
Seed Yields ◽  
Range Of Variation

Background: Indirect selection for yield contributing traits in segregating generation is practiced to realize the potential yields. However, the effectiveness of selection either in early or late segregating generation is a debatable issue in self pollinated crops. The issue is addressed in chickpea by analyzing four segregating generations of a cross in the same season. Method: A bold seeded desi chickpea variety BGD 103 crossed with JAKI 9218. The segregating generations were advanced up to F5 without selection and retaining part of the seeds in each generation. The populations comprised of 162 F­2 plants, 162 F3, F4 and F5 progeny rows were evaluated during rabi 2018-19. The observations on seed traits were recorded and data was subjected to statistical analyses to estimate correlation among the traits in each generations, inter-generation correlation and heritability.Result: The range of variation for the traits narrowed with advancement of the generations. The heritability decreased for seed weight, increased for number of pods per plant and number of seeds per plant with the advancement of generation. In all the four generations, seed yields were associated with number of pods per plant, seeds per plant and seed weight. The change in association among seed traits different generations and estimates of inter-generation correlations suggest that simultaneous improvement of seed weight, seed number and seed yield could be achieved by selection in F3 and F4 generations.

scholarly journals Genetic improvement of feed conversion ratio via indirect selection against lipid deposition in farmed rainbow trout (Oncorhynchus mykiss Walbaum)

2016 ◽  
Vol 116 (9) ◽  
pp. 1656-1665 ◽  
Author(s):  
Antti Kause ◽  
Anders Kiessling ◽  
Samuel A. M. Martin ◽  
Dominic Houlihan ◽  
Kari Ruohonen
Keyword(s):  
Rainbow Trout ◽  
Weight Gain ◽  
Feed Intake ◽  
Selection Index ◽  
Direct Selection ◽  
Genetic Response ◽  
Feed Conversion ◽  
Retention Efficiency ◽  
Muscle Lipid ◽  
Selection For

AbstractIn farmed fish, selective breeding for feed conversion ratio (FCR) may be possible via indirectly selecting for easily-measured indicator traits correlated with FCR. We tested the hypothesis that rainbow trout with low lipid% have genetically better FCR, and that lipid% may be genetically related to retention efficiency of macronutrients, making lipid% a useful indicator trait. A quantitative genetic analysis was used to quantify the benefit of replacing feed intake in a selection index with one of three lipid traits: body lipid%, muscle lipid% or viscera% weight of total body weight (reflecting visceral lipid). The index theory calculations showed that simultaneous selection for weight gain and against feed intake (direct selection to improve FCR) increased the expected genetic response in FCR by 1·50-fold compared with the sole selection for growth. Replacing feed intake in the selection index with body lipid%, muscle lipid% or viscera% increased genetic response in FCR by 1·29-, 1·49- and 1·02-fold, respectively, compared with the sole selection for growth. Consequently, indirect selection for weight gain and against muscle lipid% was almost as effective as direct selection for FCR. Fish with genetically low body and muscle lipid% were more efficient in turning ingested protein into protein weight gain. Both physiological and genetic mechanisms promote the hypothesis that low-lipid% fish are more efficient. These results highlight that in breeding programmes of rainbow trout, control of lipid deposition improves not only FCR but also protein-retention efficiency. This improves resource efficiency of aquaculture and reduces nutrient load to the environment.

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