Testing Taylor's Power Law association of winter wheat variation with mean yield at two contrasting soils

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F21%3A43919653" target="_blank" >RIV/62156489:43210/21:43919653 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1016/j.eja.2021.126268" target="_blank" >https://doi.org/10.1016/j.eja.2021.126268</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.eja.2021.126268" target="_blank" >10.1016/j.eja.2021.126268</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Testing Taylor's Power Law association of winter wheat variation with mean yield at two contrasting soils

Popis výsledku v původním jazyce

Previous research has found that, based on Taylor?s Power Law (TPL), the coefficient of variation (CV) of yield data may functionally be related to the mean, with an exponential mean yield decline with increasing CV. Recent proposals have been made how this scale-dependency can be removed in order to allow a scale-independent assessment of stability. The theoretical background of the hypothesis was studied in wheat (Triticum aestivum L.) throughout data obtained from two fields of the farm of the Mendel University of Brno, Czech Republic. Soils of the two fields were of the contrasting loamy and sandy textures. Yield variation was intense in the sandy field representing a low-input agro-ecosystem. TPL became more obvious when the two fields were considered together, so as to enlarge the range of means and CVs. On the simple correlation between logarithms of variances and respective means, there was a systematic dependence of yield variance on mean yield when the within-block CV was considered. Conversion of variance to remove dependence on mean did not validate the CV -yield negative relationship meaning that caution is needed when interpreting the CV of yield as a stability index. On the other hand, when the genotype CV for yield was considered variance was independent of the mean indicating agronomic essence in the CV- yield relationship, and coupled with the POLAR statistic, based on the negative residuals from the linear TPL regression that reflect low variability, revealed genotype cases exhibiting both high yield and stability. The findings corroborated that TPL is not always valid depending on scales and factors structuring the data. Interpreting crop variation via CV may entail a risk of bias due to variance dependence on mean, whereas the POLAR index offers an alternative stability measure that allows straight-forward interpretation providing the basis for developing more stable cropping systems. A trade-off between yield and stability does not exclude genotype cases of simultaneous occurrence of both, pinpointing realism in the pursuit of stable varieties without compromising yield.

Název v anglickém jazyce

Testing Taylor's Power Law association of winter wheat variation with mean yield at two contrasting soils

Popis výsledku anglicky

Previous research has found that, based on Taylor?s Power Law (TPL), the coefficient of variation (CV) of yield data may functionally be related to the mean, with an exponential mean yield decline with increasing CV. Recent proposals have been made how this scale-dependency can be removed in order to allow a scale-independent assessment of stability. The theoretical background of the hypothesis was studied in wheat (Triticum aestivum L.) throughout data obtained from two fields of the farm of the Mendel University of Brno, Czech Republic. Soils of the two fields were of the contrasting loamy and sandy textures. Yield variation was intense in the sandy field representing a low-input agro-ecosystem. TPL became more obvious when the two fields were considered together, so as to enlarge the range of means and CVs. On the simple correlation between logarithms of variances and respective means, there was a systematic dependence of yield variance on mean yield when the within-block CV was considered. Conversion of variance to remove dependence on mean did not validate the CV -yield negative relationship meaning that caution is needed when interpreting the CV of yield as a stability index. On the other hand, when the genotype CV for yield was considered variance was independent of the mean indicating agronomic essence in the CV- yield relationship, and coupled with the POLAR statistic, based on the negative residuals from the linear TPL regression that reflect low variability, revealed genotype cases exhibiting both high yield and stability. The findings corroborated that TPL is not always valid depending on scales and factors structuring the data. Interpreting crop variation via CV may entail a risk of bias due to variance dependence on mean, whereas the POLAR index offers an alternative stability measure that allows straight-forward interpretation providing the basis for developing more stable cropping systems. A trade-off between yield and stability does not exclude genotype cases of simultaneous occurrence of both, pinpointing realism in the pursuit of stable varieties without compromising yield.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40106 - Agronomy, plant breeding and plant protection; (Agricultural biotechnology to be 4.4)

Projekt

<a href="/cs/project/QJ1310055" target="_blank" >QJ1310055: Zvýšení ekonomické efektivity v zemědělské prvovýrobě využitím odrůd obilovin s vyšší odolností k mrazu, suchu a virózam, vhodných pro pěstitelské podmínky ČR v období silnějších výkyvů meteorologických vlivů.</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

European Journal of Agronomy

ISSN

1161-0301

e-ISSN

—

Svazek periodika

126

Číslo periodika v rámci svazku

May

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

6

Strana od-do

126268

Kód UT WoS článku

000644481500006

EID výsledku v databázi Scopus

2-s2.0-85102313030