Selection for yield in early generations of self-fertilizing crops

Sneep, J.

doi:10.1007/bf00032064

Cited by 69 publications

(44 citation statements)

References 7 publications

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“…When the number of effective factors was large the probability of obtaining the very best inbred, or even an individual approaching the best, from a single cycle of inbreeding was very small. This is a manifestation of the problem of genetic drift that has been discussed previously in this context (Snape and Simpson, 1984;Sneep, 1977). By maximising the final response, the optimum designs presented here minimized drift, but when the number of effective factors was large drift limited progress with all programmes.…”

Section: Discussionmentioning

confidence: 95%

Selection during a selfing programme. II. The effects of two or more rounds of selection

Cornish

1990

Heredity

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Theory presented in a previous paper has been used to provide a description of the responses expected from selection in two or more generations of a selfing series. Optimum two-stages and multi-stage selection programmes are described, for a limited set of circumstances, and compared with the single-stage designs described previously. Simulations show that biases may be expected if epistasis is present or if the number of effective factors is small,. If the number of effective factors is large, then progress from even the most efficient designs will be limited by drift.

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Section: Discussionmentioning

confidence: 95%

Selection during a selfing programme. II. The effects of two or more rounds of selection

Cornish

1990

Heredity

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“…Similar kinds of results were reported by DHANRAJ et al (1987), JANGALE et al (1987), KUMAR et al (2009), BARMAN & BORAH (2012) for grain yield. Some of researchers emphasized the use of early testing in F 2 and subsequent generations for yield (SNEEP, 1977;COOPER, 1981). SHEBESHKI (1967) suggested that for the identification of superior gene combinations even in the heterozygote, certainly some point of view the proportion of the plants with most desirable gene combination decreases rapidly with the advancement of generations and if these were not selected in the early generations even if heterozygote condition, these would be lost.…”

Section: Resultsmentioning

confidence: 99%

Effectiveness of selection, parent-offspring correlation and regression in bacterial blight resistance genes introgressed rice segregating population

et al. 2017

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The effectiveness of early generation selection was practiced in bacterial blight resistance genes introgressed F2 and F2:3 population of the cross CB 174 R × IRBB 60 in rice. F2 Selection have been proved to be robust and effective tool in crop improvement program. Selection differential was positive for all studied traits. Selection response was high for number of grains, thus indicating the effectiveness of selection for these character. Realized heritability was found high for number of grains and thousand grain weight, suggested that direct selection was effective. Expected selection response and predicted genetic gain was high for number of grains. Parent-offspring correlation showed low but significance association for number of productive tillers (r=0.47**, P<0.01), single plant yield (r=0.35**, P<0.01) and (r=0.30*, P<0.05) panicle length in F2 and F2:3 generation indicates that selection was fruitful in early generation. Statistically regression coefficient was not significant linear dependence of the mean of F2 and F2:3 generation.

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“…• programs (Bailey and Comstock, 1976;Bailey, 1977;Sneep, 1977;Yonezawa and Yamagata, 1978). Recurrent selection permits the substitution of time for large population size.…”

Section: Information To Usersmentioning

confidence: 99%

Yield Improvement in a Soybean Population by Utilizing Alternative Strategies of Recurrent Selection¹

Piper¹,

Fehr

1987

Crop Science

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Maximum genetic gain from recurrent selection requires an efficient and effective strategy for selection of superior individuals from a population and intermating these selections to form a new population. This research was conducted to compare genetic response to alternative strategies of recurrent selection for seed yield in soybean [Glycine max (L.) Merr.]. Four strategies initiated in the AP6 soybean population represented a factorial arrangement of one or two stages of replicated yield testing before selection of superior F4‐derived or S2‐derived lines and one or three generations of intermating between cycles. A fifth strategy, representing a conventional breeding program, was initiated in a population formed by sampling the first of three generations of intermating used to synthesize AP6. The conventional breeding strategy utilized a two‐stage yield test of F4‐derived lines obtained from a limited number of single crosses each cycle. The response to selection was determined by evaluating composites of the parents of each cycle at three locations during 2 yr. The number of cycles completed for the strategies varied from two to five. The average genetic gain per cycle was 9.6 ± 1.1 g m−2 for the conventional breeding strategy, 6.0 ± 1.1 g m−2 for the twostage test and one intermating, 5.5 ± 1.8 g m−2 for the two‐stage test and three intermatings, 1.8 ± 0.6 g m−2 for the one‐stage test and one intermating, and 0.3 ± 1.1 g m−2 for the one‐stage test and three intermatings. The ranking of the five strategies for genetic gain per year was the same as for genetic gain per cycle. The results indicated that multiple generations of intermating did not enhance genetic gain and that the two‐stage test, as conducted in this study, was superior to the one‐stage test for yield improvement.

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Selection for yield in early generations of self-fertilizing crops

Cited by 69 publications

References 7 publications

Selection during a selfing programme. II. The effects of two or more rounds of selection

Selection during a selfing programme. II. The effects of two or more rounds of selection

Effectiveness of selection, parent-offspring correlation and regression in bacterial blight resistance genes introgressed rice segregating population

Yield Improvement in a Soybean Population by Utilizing Alternative Strategies of Recurrent Selection¹

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Selection for yield in early generations of self-fertilizing crops

Cited by 69 publications

References 7 publications

Selection during a selfing programme. II. The effects of two or more rounds of selection

Selection during a selfing programme. II. The effects of two or more rounds of selection

Effectiveness of selection, parent-offspring correlation and regression in bacterial blight resistance genes introgressed rice segregating population

Yield Improvement in a Soybean Population by Utilizing Alternative Strategies of Recurrent Selection1

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Yield Improvement in a Soybean Population by Utilizing Alternative Strategies of Recurrent Selection¹