Genome-enabled predictions for fruit weight and quality from repeated records in European peach progenies.

scientific article

Genome-enabled predictions for fruit weight and quality from repeated records in European peach progenies. is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1186/S12864-017-3781-8
P932PMC publication ID5460546
P698PubMed publication ID28583089

P50authorPere ArúsQ23505556
Maria José AranzanaQ55071527
Igor PachecoQ56643599
Daniele BassiQ57138948
Bénédicte Quilot-TurionQ59193771
Laura RossiniQ30518953
Filippo BiscariniQ47164092
P2093author name stringAlessandra Stella
Patrick Lambert
Nelson Nazzicari
Thierry Pascal
Ignazio Verde
Marco Bink
Sabrina Micali
Cassia da Silva Linge
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P433issue1
P407language of work or nameEnglishQ1860
P304page(s)432
P577publication date2017-06-06
P1433published inBMC GenomicsQ15765854
P1476titleGenome-enabled predictions for fruit weight and quality from repeated records in European peach progenies
P478volume18

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Q52672927An integrated approach for increasing breeding efficiency in apple and peach in Europe.
Q91894040Combining Crop Growth Modeling and Statistical Genetic Modeling to Evaluate Phenotyping Strategies
Q89965862Genetic Mapping of the Incompatibility Locus in Olive and Development of a Linked Sequence-Tagged Site Marker
Q90049142Genome-wide association studies for yield component traits in a macadamia breeding population
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