Selection Methods in Plant Breeding

Bos, I.; Caligari, P. D. S.

doi:10.1007/978-94-015-8432-6

Cited by 40 publications

(43 citation statements)

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“…Our results are consistent with those presented by Bos and Caligari (2008). Assuming h 2 0 = 0.5, it was observed that gains for r +1 = 2 were only superior to r = 1 if t c(r) < 3.8% (Table 1) (2008)), higher gains were obtained with one observation than with two (v j for J=2 in the said study); when v ≤ 3%, higher gains were obtained with two replications.…”

Section: Critical Selection Proportions For Different Heritability Lesupporting

confidence: 92%

“…Assuming h 2 0 = 0.5, it was observed that gains for r +1 = 2 were only superior to r = 1 if t c(r) < 3.8% (Table 1) (2008)), higher gains were obtained with one observation than with two (v j for J=2 in the said study); when v ≤ 3%, higher gains were obtained with two replications. Similarly, when r=1, r+1=2 and h 2 0 ≤ 0.4, the use of two replications is advantageous, provided that the selection intensity is < 6.3%, as also reported by Bos and Caligari (2008). In the table presented by these authors, at h 2 0 ≤ 0.4, the gains with v j , for J=2 were always greater than with a single observation per progeny for all v values (0.5%, 1%, 2%, 3%, 4%, 5%, or 6%).…”

Section: Critical Selection Proportions For Different Heritability Lesupporting

confidence: 53%

“…JL Silva Filho From the GS equation, Bos and Caligari (2008) compared gains by selection using one or more than one observation per progeny, with a fixed number of plots and of selected progenies. The authors show that it is not always advantageous to increase the number of replications instead of the number of evaluated progenies.…”

Section: Introductionmentioning

confidence: 99%

“…In this study the idea proposed by Bos and Caligari (2008) was extended to decisions between the assessment of P/r progenies with r replications or P/(r+1) progenies with r+1 replications, which varies according to the heritability at the plot level. The selection of progenies taken from bulk populations, derived from biparental crosses of homozygous parents was discussed, considering no dominance, although, theoretically, the criterion could be applied to other breeding strategies.…”

Section: Introductionmentioning

confidence: 99%

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Optimizing the number of progenies and replications in plant breeding experiments

Filho¹

2013

Crop Breed. Appl. Biotechnol.

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Section: Critical Selection Proportions For Different Heritability Lesupporting

confidence: 92%

Section: Critical Selection Proportions For Different Heritability Lesupporting

confidence: 53%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimizing the number of progenies and replications in plant breeding experiments

Filho¹

2013

Crop Breed. Appl. Biotechnol.

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“…florida monokaryons. Measurement of these genetic abilities is relevant for establishment of efficient breeding programs (3). Since all the dikaryons in each population have the same nucleus (the tester nucleus), the QTLs identified in this work reflect the effect of the segregating nuclei plus their interactions with the constant tester nucleus, which differ depending on this nucleus.…”

Section: Discussionmentioning

confidence: 98%

Quantitative Trait Loci Controlling Vegetative Growth Rate in the Edible Basidiomycete Pleurotus ostreatus

Larraya

Idareta

Arana

et al. 2002

Appl Environ Microbiol

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Mycelium growth rate is a quantitative characteristic that exhibits continuous variation. This trait has applied interest, as growth rate is correlated with production yield and increased advantage against competitors. In this work, we studied growth rate variation in the edible basidiomycete Pleurotus ostreatus growing as monokaryotic or dikaryotic mycelium on Eger medium or on wheat straw. Our analysis resulted in identification of several genomic regions (quantitative trait loci [QTLs]) involved in the control of growth rate that can be mapped on the genetic linkage map of this fungus. In some cases monokaryotic and dikaryotic QTLs clustered at the same map position, indicating that there are principal genomic areas responsible for growth rate control. The availability of this linkage map of growth rate QTLs can help in the design of rational strain breeding programs based on genomic information.Pleurotus ostreatus is a commercially important edible mushroom commonly known as oyster mushroom. This fungus is industrially produced as human food (4), for the bioconversion of agricultural and industrial lignocellulose wastes (1, 27), and as a source of enzymes and other chemicals for industrial and medical applications (9, 10, 23). Its life cycle alternates between monokaryotic (haploid) and dikaryotic (dihaploid) mycelial phases (8). Two compatible monokaryotic hyphae fuse and produce a dikaryotic mycelium in which the two parental nuclei remain independent (dikaryon, heterokaryon) throughout vegetative growth. Fruiting occurs under appropriate environmental conditions, and true diploidy occurs only at the basidia, where karyogamy takes place immediately before the onset of the meiosis that produces four uninucleate basidiospores.P. ostreatus can be grown on a wide range of substrates, agricultural subproducts, and industrial wastes (11, 25), although pasteurized straw is the most commonly used substrate. Many pests and diseases can cause important yield losses in P. ostreatus cultures. Currently, one of the most important threats to production of this organism is attack by green molds belonging to the genus Trichoderma (30). Differences in green mold susceptibility among P. ostreatus strains have been related to variations in the growth rate of this basidiomycete (2, 29) Additionally, mycelium growth rate has been found to be positively correlated with fruit body yield (28) and thus is an important characteristic for selection in oyster mushroom breeding programs.The mycelium growth rate exhibits continuous variation and is presumably under the control of a polygenic genetic system. The monokaryotic growth rates of some filamentous fungi have been studied and have been found to be associated with some chromosomal regions (14,19,31). However, no quantitative analyses have been performed to determine exhaustively the number, positions, and effects of the genes involved. Quantitative trait locus (QTL) analysis has been applied widely to commercially important plant crops (22, 32, 33) but is rare in studies of mush...

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Genetic Improvement of Malting Quality through Conventional Breeding and Marker-assisted Selection

Çakır

Lance

2009

Advanced Topics in Science and Technology in China

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Selection Methods in Plant Breeding

Cited by 40 publications

References 0 publications

Optimizing the number of progenies and replications in plant breeding experiments

Optimizing the number of progenies and replications in plant breeding experiments

Quantitative Trait Loci Controlling Vegetative Growth Rate in the Edible Basidiomycete Pleurotus ostreatus

Genetic Improvement of Malting Quality through Conventional Breeding and Marker-assisted Selection

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