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| 1 | Multi-year analyses on three populations reveal the first stable QTLs for tolerance to rain-induced fruit cracking in sweet cherry (Prunus avium L.)显示文摘Rain-induced fruit cracking is a major problem in sweet cherry cultivation.Basic research has been conducted to disentangle the physiological and mechanistic bases of this complex phenomenon,whereas genetic studies have lagged behind.The objective of this work was to disentangle the genetic determinism of rain-induced fruit cracking.We hypothesized that a large genetic variation would be revealed,by visual field observations conducted on mapping populations derived from well-contrasted cultivars for cracking tolerance.Three populations were evaluated over 7–8 years by estimating the proportion of cracked fruits for each genotype at maturity,at three different areas of the sweet cherry fruit:pistillar end,stem end,and fruit side.An original approach was adopted to integrate,within simple linear models,covariates potentially related to cracking,such as rainfall accumulation before harvest,fruit weight,and firmness.We found the first stable quantitative trait loci(QTLs)for cherry fruit cracking,explaining percentages of phenotypic variance above 20%,for each of these three types of cracking tolerance,in different linkage groups,confirming the high complexity of this trait.For these and other QTLs,further analyses suggested the existence of at least two-linked QTLs in each linkage group,some of which showed confidence intervals close to 5 cM.These promising results open the possibility of developing marker-assisted selection strategies to select cracking-tolerant sweet cherry cultivars.Further studies are needed to confirm the stability of the reported QTLs over different genetic backgrounds and environments and to narrow down the QTL confidence intervals,allowing the exploration of underlying candidate genes. | Jose Quero-Garcia Philippe Letourmy Jose Antonio Campoy Camille Branchereau Svetoslav Malchev Teresa Barreneche Elisabeth Dirlewanger | 2021 | Horticulture Research2021，8，1： | 3 |
| 2 | Impact of Sugar-cane yellow leaf virus on sugarcane yield and juice quality in R6union Island显示文摘 | Rassaby L Girard J C Letourmy P | | 0，，05： | 1 |
| 3 | Heritability of the main agronomic traits of taro 显示文摘 | Quero-Garcia J Letourmy P Ivancic A | 2006 | Crop Sci2006，46，6： | 1 |
| 4 | Variation in virus populations and growth characteristics of two sugarcane cultivars naturally infected by Sugarcane yellow leaf virus in different geographical locations显示文摘 | Abu Ahmad Y Girard J C Fernandez E Pauquet J Lockhart B E L Letourmy P and Rott P | | 0，，： | 1 |
| 5 | Variation in infection capacity and in virulence exists between genotypes of Sugarcane yellow leaf virus显示文摘 | Abu Ahmad Y Costet L Daugrois J H Nibouche S Letourmy P Girard J C and Rott P | | 0，，： | 1 |
| 6 | Effects of remnant trees in fallows on diversity and structure of forest regrowth in a slash-and- burn agricultural system in southern Cameroon 显示文摘 | Carriere S M Letourmy P McKey D B | 2002 | Journal of Tropi- cal Ecology2002，18，3： | 1 |
| 7 | Heritability of the main agronomic traits of taro 显示文摘 | Quero-Garcia J Letourmy P Ivancic A | 2006 | Crop Sci2006，46，6： | 1 |
| 8 | Genome-Wide Association Study of Nitrogen Use Efficiency and Agronomic Traits in Upland Rice显示文摘Genome-wide association study(GWAS)was performed for 16 agronomic traits including nitrogen use efficiency(NUE)and yield-related components using a panel of 190 mainly japonica rice varieties and a set of 38390 single nucleotide polymorphism(SNP)markers.This panel was evaluated under rainfed upland conditions in Madagascar in two consecutive cropping seasons with two contrasted nitrogen input levels.Using another set of five grain traits,we identified previously known genes(GW5,GS3,Awn1 and Glabrous1),thus validating the pertinence and accuracy of our datasets for GWAS.A total of 369 significant associations were detected between SNPs and agronomic traits,gathered into 46 distinct haplotype groups and 28 isolated markers.Few association signals were identified for the complex quantitative trait NUE,however,larger number of quantitative trait loci(QTLs)were detected for its component traits,with 10 and 2 association signals for nitrogen utilization efficiency and nitrogen uptake efficiency,respectively.Several detected association signals co-localized with genes involved in nitrogen transport or nitrogen remobilization within 100 kb.The present study thus confirmed the potential of GWAS to identify candidate genes and new loci associated with agronomic traits.However,because of the quantitative and complex nature of NUE-related traits,GWAS might have not captured a large number of QTLs with limited effects. | Tatiana Rakotoson Julie Dusserre Philippe Letourmy Julien Frouin Isabelle Ramonta Ratsimiala Noronirina Victorine Rakotoarisoa Tuong-Vi CAO Kirsten Vom Brocke Alain Ramanantsoanirina Nourollah Ahmadi Louis-Marie Raboin | 2021 | Rice science2021，28，4： | 0 |
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