Jatropha half-sib family selection with high adaptability and genotypic stability

ABSTRACT The effects of population size and selection intensity on the mean response was examined after 14 generations of within full-sib family selection for postweaning gain in mice. Population sizes of 1, 2, 4, 8 and 16 pair matings were each evaluated at selection intensities of 100% (control), 50% and 25% in a replicated experiment. Selection response per generation increased as selection intensity increased. Selection response and realized heritability tended to increase with increasing population size. Replicate variability in realized heritability was large at population sizes of 1, 2 and 4 pairs. Genetic drift was implicated as the primary factor causing the reduced response and lowered repeatability at the smaller population sizes. Lines with intended effective population sizes of 62 yielded larger selection responses per unit selection differential than lines with effective population sizes of 30 or less.

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Prediction of Ratoon Sugarcane Family Yield and Selection Using Remote Imagery

Agronomy ◽

10.3390/agronomy11071273 ◽

2021 ◽

Vol 11 (7) ◽

pp. 1273

Author(s):

James Todd ◽

Richard Johnson

Keyword(s):

Remote Sensing ◽

Regression Model ◽

Block Design ◽

Color Space ◽

Multiple Linear Regression Model ◽

Cane Yield ◽

Unmanned Aerial Systems ◽

Family Selection ◽

Ratoon Crop ◽

Color Indices

Remote sensing techniques and the use of Unmanned Aerial Systems (UAS) have simplified the estimation of yield and plant health in many crops. Family selection in sugarcane breeding programs relies on weighed plots at harvest, which is a labor-intensive process. In this study, we utilized UAS-based remote sensing imagery of plant-cane and first ratoon crops to estimate family yields for a second ratoon crop. Multiple families from the commercial breeding program were planted in a randomized complete block design by family. Standard red, green, and blue imagery was acquired with a commercially available UAS equipped with a Red–Green–Blue (RGB) camera. Color indices using the CIELab color space model were estimated from the imagery for each plot. The cane was mechanically harvested with a sugarcane combine harvester and plot weights were obtained (kg) with a field wagon equipped with load cells. Stepwise regression, correlations, and variance inflation factors were used to identify the best multiple linear regression model to estimate the second ratoon cane yield (kg). A multiple regression model, which included family, and five different color indices produced a significant R2 of 0.88. This indicates that it is possible to make family selection predictions of cane weight without collecting plot weights. The adoption of this technology has the potential to decrease labor requirements and increase breeding efficiency.

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Genotypic Stability Effects on Predicted Family Responses to Silvicultural Treatments in Loblolly Pine

Southern Journal of Applied Forestry ◽

10.1093/sjaf/21.2.84 ◽

1997 ◽

Vol 21 (2) ◽

pp. 84-89 ◽

Cited By ~ 12

Author(s):

Steven E. McKeand ◽

Robert P. Crook ◽

H. Lee Allen

Keyword(s):

Pinus Taeda ◽

Loblolly Pine ◽

Growth Responses ◽

Intensive Culture ◽

Genotype By Environment ◽

Silvicultural Treatments ◽

Genotypic Stability ◽

Superior Genotypes ◽

Using Data ◽

Pinus Taeda L

Abstract The lack of rank change in growth characteristics when open-pollinated families of loblolly pine (Pinus taeda L.) are planted on different sites in the Southeast has greatly simplified breeding for superior genotypes. Although family rank does not usually change, genotype by environment interactions (GxE) may be very important in operational deployment of families in regeneration programs. Using data from GxE trials and two site preparation-fertilization-herbicide trials, we estimated the growth that different families should achieve following application of these silvicultural practices. Better performing families tend to be most responsive to site changes (i.e. genetically unstable). Growth responses to silvicultural treatment will be overestimated if only the most responsive families are used in silvicultural research trials. Similarly, genetic gains will be overestimated if gain trials are planted on only the best sites or receive intensive culture. South. J. Appl. For. 21(2):84-89.

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Creating and Characterisation of New Red Clover Variety ‘Jancis’/ Sarkanâ Âboliòa Ðíirnes ‘Jancis’ Izveidoðana Un Tâs Raksturojums

Proceedings of the Latvian Academy of Sciences Section B Natural Exact and Applied Sciences ◽

10.2478/prolas-2014-0021 ◽

2014 ◽

Vol 68 (3-4) ◽

pp. 180-183

Author(s):

Biruta Jansone ◽

Sarmīte Rancāne ◽

Pēteris Bērziņš ◽

Aldis Jansons

Keyword(s):

Seed Yield ◽

Red Clover ◽

Climatic Conditions ◽

Family Selection ◽

High Dry Matter ◽

Bright Pink ◽

Long Stem ◽

Dark Green ◽

High Seed Yield

Abstract The aim of this work was to develop a red clover variety adapted to agro-climatic conditions of Latvia, suitable for different requirements of forage producers, resistant to most widespread diseases and producing high seed yield annually. Medium late ripening diploid red clover variety ‘Jancis’ was created at the LLU Research Institute of Agriculture in long-term work carried out since 1985. After free pollination of best samples of red clover collections from the VIR (St. Petersburg), individual and family selection among hybrids were carried out for approximately 20 years. Finally, best breeding line Nr. 43047 was registered as a variety ‘Jancis’. The variety is characterised by good winter hardiness, high dry matter yield (10-12 t·ha-1) and good persistence in the sward - up to 3-4 years. The variety is characterised by a long stem (90-110 cm) with 8-9 internodes, dark green leaves with a distinctive brighter picture, medium length and width of medial leaflet, and bright pink flower heads. ‘Jancis’ has stable annual seed yield in the conditions of Latvia; under favourable conditions reaching 500- 600 kg·ha-1 seeds. Since 2010, the variety ‘Jancis’ has been included in the common Latvian and EU Plant Variety Catalogue.

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Mother Gold Code Family Selection Scheme for Concatenation and Truncation based Code Design

Journal of Institute of Control Robotics and Systems ◽

10.5302/j.icros.2021.21.0077 ◽

2021 ◽

Vol 27 (11) ◽

pp. 937-941

Author(s):

Sungyeol Back ◽

Junseong Kim ◽

Suyong Choi ◽

Wangrok Oh

Keyword(s):

Code Design ◽

Family Selection ◽

Selection Scheme ◽

Gold Code

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Heritability of height growth in 10-year-old Sitka spruce

Canadian Journal of Genetics and Cytology ◽

10.1139/g85-109 ◽

1985 ◽

Vol 27 (6) ◽

pp. 729-734 ◽

Cited By ~ 4

Author(s):

Francis C. Yeh ◽

Sven Rasmussen

Keyword(s):

Sitka Spruce ◽

Height Growth ◽

Picea Sitchensis ◽

Breeding Program ◽

Progeny Test ◽

Northwest Coast ◽

Phenotypic Variance ◽

Family Selection ◽

Sources Of Variation

Ten-year height growth for Picea sitchensis (Bong.) Carr. was studied in a progeny test of 42 wind-pollinated families from seven stands on the northwest coast of Vancouver Island. Although stand and family-within-stand effects were significant sources of variation, 79% of the phenotypic variance in 10-year height was associated with differences among trees within family plots. Estimates of heritability ([Formula: see text], [Formula: see text], and [Formula: see text]) indicate that a combination of stand, family-within-stand, and progeny-within-family selection will be effective for a long-term breeding program to increase tree heights in Sitka spruce.Key words: Picea, heritability, quantitative.

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Computer simulation of within family selection in finite populations

Theoretical and Applied Genetics ◽

10.1007/bf00282409 ◽

1976 ◽

Vol 48 (1) ◽

pp. 45-51 ◽

Cited By ~ 3

Author(s):

S. S. Y. Young ◽

R. V. Skavaril

Keyword(s):

Computer Simulation ◽

Family Selection ◽

Finite Populations

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