Evidence map›Paper›PMID 26504549›Full record

ArticleHorticulture research2014

Genetic and environmental control of fruit maturation, dry matter and firmness in apple (Malus × domestica Borkh.).

David Chagné, Daya Dayatilake, Robert Diack, Murray Oliver, Hilary Ireland, Amy Watson, Susan E Gardiner, Jason W Johnston, Robert J Schaffer, Stuart Tustin

Abstract read
In one paragraph

Article in Horticulture research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Marker-Assisted Selection in Breeding for Fruit Trait Improvement: A Review.International journal of molecular sciences · 2023
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. The MultisitePlant physiology · 2020
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

David ChagnéThe New Zealand Institute for Plant & Food Research Limited (Plant & Food Research), Palmerston North Research Centre , Palmerston North, New Zealand.
Daya DayatilakePlant & Food Research, Hawke's Bay Research Centre , Havelock North, New Zealand.
Robert DiackPlant & Food Research, Motueka Research Centre , Motueka, New Zealand.
Murray OliverPlant & Food Research, Hawke's Bay Research Centre , Havelock North, New Zealand.
Hilary IrelandPlant & Food Research, Mount Albert Research Centre , Auckland, New Zealand.
Amy WatsonThe New Zealand Institute for Plant & Food Research Limited (Plant & Food Research), Palmerston North Research Centre , Palmerston North, New Zealand.
Susan E GardinerThe New Zealand Institute for Plant & Food Research Limited (Plant & Food Research), Palmerston North Research Centre , Palmerston North, New Zealand.
Jason W JohnstonPlant & Food Research, Hawke's Bay Research Centre , Havelock North, New Zealand.
Robert J SchafferPlant & Food Research, Mount Albert Research Centre , Auckland, New Zealand ; School of Biological Sciences, University of Auckland , Auckland, New Zealand.
Stuart TustinPlant & Food Research, Hawke's Bay Research Centre , Havelock North, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For any given genotype, the environment in which an apple is grown can influence the properties of the fruit considerably. While there has been extensive research on the mechanism of the genetic control of fruit quality traits, less effort has been made to investigate the way that these genetic mechanisms interact with the environment. To address this issue, we employed a large 'Royal Gala' × 'Braeburn' population of 572 seedlings replicated over sites in three climatically diverse apple-growing regions in New Zealand. Phenotyping for traits including fruit maturation timing, firmness and dry matter content was performed at each of these three sites for a single growing season (2011), and at two sites (Motueka and Hawke's Bay) for two seasons (2009 and 2010). The phenotype data collected over 2 years at two sites enabled the detection of 190 quantitative trait loci (QTL) that controlled these traits regardless of year or growing location, as well as some chromosomal loci that influenced the traits in a single given environment or year. For those loci that were environmentally stable over three sites, there was an interdependency of fruit maturation date, dry matter content and storage potential within this population, with two regions on Linkage Groups (LGs) 10 and 16 strongly contributing. If these loci were used in a marker-assisted selection programme to select for progeny bearing firmer fruit, this would have the unintentional consequence of selecting, high dry matter content, later maturing apples. In addition, a further 113 new QTLs with a smaller effect were identified, some of which were exhibited only in a single growing environment, demonstrating the underlying complexity of control of traits determining fruit quality, in addition to the need for being aware of environmental effects when developing new apple varieties.

Identifiers

PMID26504549
PMCPMC4596328

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.