Nonlinear Model Selection for Fruit and Kernel Development as a Function of Heat in Pistachio

Knowing a tree crop’s seasonal growth and development as a function of heat accumulation can facilitate scheduling of irrigation, pesticide applications, and harvest. Our objective was to compare the goodness of fit of applied models and determine which provides the best description of pistachio nut...

Full description

Bibliographic Details
Main Authors: Lu Zhang, Emilio Laca, Cara J. Allan, Narges M. Mahvelati, Louise Ferguson
Format: Article
Language:English
Published: American Society for Horticultural Science (ASHS) 2021-06-01
Series:HortScience
Subjects:
Online Access:https://journals.ashs.org/hortsci/view/journals/hortsci/56/7/article-p769.xml
id doaj-01ccabf5edbf484cb369a92631b4c0bd
record_format Article
spelling doaj-01ccabf5edbf484cb369a92631b4c0bd2021-07-19T01:00:33ZengAmerican Society for Horticultural Science (ASHS)HortScience2327-98342021-06-01567769779https://doi.org/10.21273/HORTSCI15722-21Nonlinear Model Selection for Fruit and Kernel Development as a Function of Heat in PistachioLu ZhangEmilio LacaCara J. AllanNarges M. MahvelatiLouise FergusonKnowing a tree crop’s seasonal growth and development as a function of heat accumulation can facilitate scheduling of irrigation, pesticide applications, and harvest. Our objective was to compare the goodness of fit of applied models and determine which provides the best description of pistachio nut growth as a function of thermal unit accumulation. Three fruit growth traits of pistachio—pericarp (hull) + endocarp (shell) size, endocarp thickening and hardening, and embryo (kernel) size—exhibited clear nonlinear dependence on heat accumulation. We tested three nonlinear models—Michaelis–Menten, three-parameter logistic, and Gompertz—fitted to fruit development data to create a tool to forecast pest susceptibility and harvest timing. Observation of development began at full bloom and ended at harvest. Data were collected from six pistachio cultivars in one experimental and eight commercial orchards over 3 years. Analyses of residual distribution, parameter standard errors, coefficient of determination (R2) and the Akaike information criterion (AIC) all demonstrated the Gompertz function was the best model. Cultivars differed significantly in all the three parameters (Asym, b, and c) for all three traits with the Gompertz model, demonstrating the Gompertz model can adjust to incorporate cultivar differences. The growth curve of the three traits together provided integrated information on nut biomass accumulation that facilitates predicting the critical timing for multiple orchard management practices.https://journals.ashs.org/hortsci/view/journals/hortsci/56/7/article-p769.xmlembryogompertz modelnut growthpistacia vera
collection DOAJ
language English
format Article
sources DOAJ
author Lu Zhang
Emilio Laca
Cara J. Allan
Narges M. Mahvelati
Louise Ferguson
spellingShingle Lu Zhang
Emilio Laca
Cara J. Allan
Narges M. Mahvelati
Louise Ferguson
Nonlinear Model Selection for Fruit and Kernel Development as a Function of Heat in Pistachio
HortScience
embryo
gompertz model
nut growth
pistacia vera
author_facet Lu Zhang
Emilio Laca
Cara J. Allan
Narges M. Mahvelati
Louise Ferguson
author_sort Lu Zhang
title Nonlinear Model Selection for Fruit and Kernel Development as a Function of Heat in Pistachio
title_short Nonlinear Model Selection for Fruit and Kernel Development as a Function of Heat in Pistachio
title_full Nonlinear Model Selection for Fruit and Kernel Development as a Function of Heat in Pistachio
title_fullStr Nonlinear Model Selection for Fruit and Kernel Development as a Function of Heat in Pistachio
title_full_unstemmed Nonlinear Model Selection for Fruit and Kernel Development as a Function of Heat in Pistachio
title_sort nonlinear model selection for fruit and kernel development as a function of heat in pistachio
publisher American Society for Horticultural Science (ASHS)
series HortScience
issn 2327-9834
publishDate 2021-06-01
description Knowing a tree crop’s seasonal growth and development as a function of heat accumulation can facilitate scheduling of irrigation, pesticide applications, and harvest. Our objective was to compare the goodness of fit of applied models and determine which provides the best description of pistachio nut growth as a function of thermal unit accumulation. Three fruit growth traits of pistachio—pericarp (hull) + endocarp (shell) size, endocarp thickening and hardening, and embryo (kernel) size—exhibited clear nonlinear dependence on heat accumulation. We tested three nonlinear models—Michaelis–Menten, three-parameter logistic, and Gompertz—fitted to fruit development data to create a tool to forecast pest susceptibility and harvest timing. Observation of development began at full bloom and ended at harvest. Data were collected from six pistachio cultivars in one experimental and eight commercial orchards over 3 years. Analyses of residual distribution, parameter standard errors, coefficient of determination (R2) and the Akaike information criterion (AIC) all demonstrated the Gompertz function was the best model. Cultivars differed significantly in all the three parameters (Asym, b, and c) for all three traits with the Gompertz model, demonstrating the Gompertz model can adjust to incorporate cultivar differences. The growth curve of the three traits together provided integrated information on nut biomass accumulation that facilitates predicting the critical timing for multiple orchard management practices.
topic embryo
gompertz model
nut growth
pistacia vera
url https://journals.ashs.org/hortsci/view/journals/hortsci/56/7/article-p769.xml
work_keys_str_mv AT luzhang nonlinearmodelselectionforfruitandkerneldevelopmentasafunctionofheatinpistachio
AT emiliolaca nonlinearmodelselectionforfruitandkerneldevelopmentasafunctionofheatinpistachio
AT carajallan nonlinearmodelselectionforfruitandkerneldevelopmentasafunctionofheatinpistachio
AT nargesmmahvelati nonlinearmodelselectionforfruitandkerneldevelopmentasafunctionofheatinpistachio
AT louiseferguson nonlinearmodelselectionforfruitandkerneldevelopmentasafunctionofheatinpistachio
_version_ 1721295624730574848