An estimate of potential blueberry yield using regression models that relate the number of fruits to the number of flower buds and to climatic variables

Salvo, Sonia; Muñoz, Carlos; Ávila, Julio; Bustos, Jaime; Ramírez-Valdivia, Martha T.; Silva, Carolina; Vivallo, Gabriel

doi:10.1016/j.scienta.2011.10.020

Cited by 23 publications

(8 citation statements)

References 31 publications

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“…Flower bud density can be useful to estimate potential yield in the next harvest (Salvo et al, 2012). Among the significant associations with this trait, we found SNPs leading to missense mutations.…”

Section: Biological Insights Into the Genetic Basis Of Fruit-related mentioning

confidence: 92%

Insights Into the Genetic Basis of Blueberry Fruit-Related Traits Using Diploid and Polyploid Models in a GWAS Context

et al. 2018

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Polyploidization is an ancient and recurrent process in plant evolution, impacting the diversification of natural populations and plant breeding strategies. Polyploidization occurs in many important crops; however, its effects on inheritance of many agronomic traits are still poorly understood compared with diploid species. Higher levels of allelic dosage or more complex interactions between alleles could affect the phenotype expression. Hence, the present study aimed to dissect the genetic basis of fruit-related traits in autotetraploid blueberries and identify candidate genes affecting phenotypic variation. We performed a genome-wide association study (GWAS) assuming diploid and tetraploid inheritance, encompassing distinct models of gene action (additive, general, different orders of allelic interaction, and the corresponding diploidized models). A total of 1,575 southern highbush blueberry individuals from a breeding population of 117 full-sib families were genotyped using sequence capture and next-generation sequencing, and evaluated for eight fruit-related traits. For the diploid allele calling, 77,496 SNPs were detected; while 80,591 SNPs were obtained in tetraploid, with a high degree of overlap (95%) between them. A linear mixed model that accounted for population and family structure was used for the GWAS analyses. By modeling tetraploid genotypes, we detected 15 SNPs significantly associated with five fruit-related traits. Alternatively, seven significant SNPs were detected for only two traits using diploid genotypes, with two SNPs overlapping with the tetraploid scenario. Our results showed that the importance of tetraploid models varied by trait and that the use of diploid models has hindered the detection of SNP-trait associations and, consequently, the genetic architecture of some commercially important traits in autotetraploid species. Furthermore, 14 SNPs co-localized with candidate genes, five of which lead to non-synonymous amino acid changes. The potential functional significance of these SNPs is discussed.

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Section: Biological Insights Into the Genetic Basis Of Fruit-related mentioning

confidence: 92%

Insights Into the Genetic Basis of Blueberry Fruit-Related Traits Using Diploid and Polyploid Models in a GWAS Context

et al. 2018

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“…In blueberries, the VPD is usually not a reported climatic variable (Krebs et al, 2009;Salvo et al, 2012). However, it should be considered (Table 1) given that it may play a role in the relationship between crop yield and transpiration, as shown by Tanner and Sinclair (1983).…”

Section: Total Fruit Productionmentioning

confidence: 99%

Number of drip laterals and irrigation frequency on yield and exportable fruit size of highbush blueberry grown in a sandy soil

Holzapfel

Jara

Coronata

2015

Agricultural Water Management

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“…Many methods are available for this selection: forward selection, backward elimination, stepwise selection, leaps-and-bounds regression, orthogonal descriptors, genetic algorithms, genetic populations, choosing operators, and fitness of evaluation (Xu and Zhang 2001). Salvo et al (2012) developed regression models as a function of climatic variables for estimating the yield of blueberries in Chile. Pedro Junior et al (2014) produced estimation models for soluble solids and titratable acidity of grapes for the state of São Paulo, also using regressions, as a function of growing degree days.…”

Section: Introductionmentioning

confidence: 99%

Agrometeorological models for forecasting the qualitative attributes of “Valência” oranges

Moreto

Rolim

Zacarin³

et al. 2016

Theor Appl Climatol

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Forecasting is the act of predicting unknown future events using available data. Estimating, in contrast, uses data to simulate an actual condition. Brazil is the world's largest producer of oranges, and the state of São Paulo is the largest producer in Brazil. The BValência^orange is among the most common cultivars in the state. We analyzed the influence of monthly meteorological variables during the growth cycle of Valência oranges grafted onto BRangpur^lime rootstocks (VACR) for São Paulo, and developed monthly agrometeorological models for forecasting the qualitative attributes of VACR in mature orchard. For fruits per box for all months, the best accuracy was of 0.84 % and the minimum forecast range of 4 months. For the relation between°brix and juice acidity (RATIO) the best accuracy was of 0.69 % and the minimum forecast range of 5 months. Minimum, mean and maximum air temperatures, and relative evapotranspiration were the most important variables in the models.

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An estimate of potential blueberry yield using regression models that relate the number of fruits to the number of flower buds and to climatic variables

Cited by 23 publications

References 31 publications

Insights Into the Genetic Basis of Blueberry Fruit-Related Traits Using Diploid and Polyploid Models in a GWAS Context

Insights Into the Genetic Basis of Blueberry Fruit-Related Traits Using Diploid and Polyploid Models in a GWAS Context

Number of drip laterals and irrigation frequency on yield and exportable fruit size of highbush blueberry grown in a sandy soil

Agrometeorological models for forecasting the qualitative attributes of “Valência” oranges

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