Quantitative Genetic Principles in Plant Breeding

Baker, Robert J.

doi:10.1007/978-1-4613-2429-4_7

Cited by 27 publications

(17 citation statements)

References 40 publications

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“…Some important published researches have concluded that, whenever a choice was given, it was preferable to take a small number of families from the highest possible number of populations (Baker, 1984;Fouilloux and Bannerot, 1988). This strategy has been utilized in some breeding programs involving autogamous plants (Cooper, 1988).…”

Section: Resultsmentioning

confidence: 99%

“…In order to answer this question, some simulation experiments were carried out to show the advantage of evaluating a smaller number of families out of the largest possible number of populations (Baker, 1984;Fouilloux and Bannerot, 1988). Such research however, assumed that h 2 estimates equal to 100%, which normally does not occur for the great majority of economically important characters.…”

Section: Introductionmentioning

confidence: 99%

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Performance of upland rice families selected from segregant populations

Santos¹,

Soares²,

Ramalho³

2002

CBAB

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The objective of this research was to analyze the agronomic performance of rice (Oryza sativa L.) families selected from divergent populations evaluated under different sowing times and locations in 1996/97. The source populations for the families were CNA x 5496, CNA x 6001, CNA x 6063 and CNA x 6102. A hundred families from each cross (population) were evaluated and submitted to five common treatments, which originated a three-replicate 20x20 lattice, grown at two locations, Lavras and Patos de Minas in 1997/98. In the next year (1998/99), the ten best and the ten worst-performing families from each population were again evaluated to confirm the superiority of families selected from the CNA x 5496 and CNA x 6001 populations. A 9x9 lattice with three replications experimental design was used. The two populations selected as the most promising in 1996/97 yielded the best families upon selection. Therefore, in a similar breeding program, it would be advantageous to carry out a high number of crosses, originating a great number of segregant populations, and to select the best ones, concentrating efforts on the evaluation of families extracted from superior populations. Such results confirm the efficiency of selection of source populations for family extraction. KEY WORDS:Oryza sativa, breeding, yield.maize (Pinto, 1996) were conducted under field conditions, which revealed the need to evaluate a large number of families within each population, especially if character heritability is low.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Performance of upland rice families selected from segregant populations

Santos¹,

Soares²,

Ramalho³

2002

CBAB

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“…The estimated gain per cycle in this study for five cycles of selection in 1ST-1IG was lower for the early and late sets, and the midseason set did not show the significant decrease observed in the previous study. The variable yield response observed across maturity sets for each strategy in this experiment would be expected for replicated selection experiments (Baker, 1984). Sources of the variable response could be random sampling in crossing, selfing, and in the selection phase.…”

Section: Discussionmentioning

confidence: 78%

“…Altman and Busch (1984) lead also to the disruption of favorable gene complexes (Pederson, 1974). Baker (1984) suggested that chromosome reassortment may be sufficient for short term response.…”

Section: Intermating Of Selected Parentsmentioning

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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“…The choice of the parents, pattern of inheritance for various qualitative and quantitative traits, the number of major genes with major effects, and the nature of gene action operating on the quantitative traits must be known to the breeder for effective breeding programme under salinity stress. For choosing the most suitable parents for a breeding programme, there is no consensus on how to choose parents that will produce high-yielding progenies, and the selection of parental genotypes remains one of the critical unanswered questions (Baker, 1984). The selection of parents based on estimable parameters relevant to gene action should be preferred to the visual observation of desirable attributes to be improved (Arunachalam, 1989).…”

Section: Introductionmentioning

confidence: 99%

Combining ability studies under salinity stress and unstressed condition in chickpea

Dudhe

Kumar

2016

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The present study was carried out to generate some information on the genetic basis for salinity tolerance in chickpea. Results indicated that the additive as well as non-additive gene action was important for all the traits under unstressed as well as salinity stress condition. Parent Pusa 1103 was a good combiner for RWC, MSI, seed yield and harvest index both under unstressed and salinity stress condition. DG 72 was a good combiner for RWC and parent SAKI 9516 for days to maturity both under unstressed and salinity stress. Two crosses Pusa 1103 x DG 72 and cross Pusa 1103 x DG 54 were best among all the crosses studied for seed yield per plant. While selecting best crosses for salinity stress tolerance besides giving more importance to salinity indices the seed yield per plant need to be considered. The present findings will help the chickpea breeder in deciding the breeding program aimed at improvement of salinity stress tolerant varieties in chickpea.

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Quantitative Genetic Principles in Plant Breeding

Cited by 27 publications

References 40 publications

Performance of upland rice families selected from segregant populations

Performance of upland rice families selected from segregant populations

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

Combining ability studies under salinity stress and unstressed condition in chickpea

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Quantitative Genetic Principles in Plant Breeding

Cited by 27 publications

References 40 publications

Performance of upland rice families selected from segregant populations

Performance of upland rice families selected from segregant populations

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

Combining ability studies under salinity stress and unstressed condition in chickpea

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