Four-way data analysis within the linear mixed modelling framework

Studnicki, Marcin; Mądry, W.; Derejko, Adriana; Noras, Kinga; Wójcik‐Gront, Elżbieta

doi:10.1590/0103-9016-2014-0333

Cited by 5 publications

(8 citation statements)

References 27 publications

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“…In this context, the BLUP method could be adequately used to predict yield of genotypes in the environments where they are not examined (PIEPHO et al, 2003, BUNTARAN et al, 2019. Recently, REML/BLUP methods have been used to investigate the G×E interaction in different crops such as: wheat (YAN et al, 2002;STUDNICKI et al, 2015), maize (SO and EDWARDS, 2011;OLIVOTO et al, 2017) soybean RAJCAN, 2003), cowpea (SANTOS et al, 2016), sorghum (ALMEIDA FILHO et al, 2014; and sweat potatoes (TICONA-BENAVENTE and SILVA FILHO, 2015).…”

Section: Introductionmentioning

confidence: 99%

Stability analysis of tuber yield using unbalanced data from potato variety trials

Mijic¹,

Kozumplik²,

Šarčević³

et al. 2019

Genetika

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Potatoes are grown in a wide region and in different environments unlike other crops, so it is known as one of the most spread world crops. In many agriculture areas around the world new genotypes are included in many multi-locational experiments at a large number of locations and years to determine the level and the stability of yields. However, there are a lot of problems with this traditional approach mostly due to the large number of genotypes that require consistent checking of every genotype at numerous locations and years. Multi-locational experiments require a lot of time and financial resources, and the possibility of error is greatly increased. In the present study we used the REML/BLUP 1152

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Section: Introductionmentioning

confidence: 99%

Stability analysis of tuber yield using unbalanced data from potato variety trials

Mijic¹,

Kozumplik²,

Šarčević³

et al. 2019

Genetika

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“…However, many previous studies showed significant influence of crop management intensities on yield (Cornish, 1987;Cooper et al, 1996;Cooper et al, 2001;Vlachostergios and Roupakias, 2008). The results from similar METs data analysis from this part of Europe also indicated a significant impact of crop management intensity (Laidig et al, 2014;Rozbicki et al, 2015;Studnicki et al, 2015). In the European Union, all cultivars included in the Common Catalogues of Varieties of Agriculture Plant Species (CCA) can be grown without limitation in each member state.…”

Section: Discussionmentioning

confidence: 67%

Adaptation patterns of winter wheat cultivars in agro-ecological regions

Studnicki

Derejko

Wójcik‐Gront

et al. 2019

Sci. agric. (Piracicaba, Braz.)

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Multi-environment trials are commonly used to assess cultivar adaptation patterns under different environmental conditions and to help make effective cultivar recommendations for growers. An example of a multi-environment trial system used for cultivar recommendations is the Polish Post-registration Variety Testing System. A common approach in cultivar recommendations is to evaluate the adaptability of cultivars across, or for, specific trial locations. However, the locations of the trials and the fields where a farmer will grow a crop are hardly ever in the same place. Therefore, it would be better to group the trial locations into regions and give recommendations for the whole region. The aim of this study is to evaluate the grain yield adaptation patterns of 62 modern winter wheat cultivars in six agro-ecological regions of Poland for two crop management intensities over five growing seasons. The analysis of the grain yield data was performed separately for each intensity using single-stage approaches in linear mixed models. We ascertained that winter wheat yield variability was in the main determined by agro-ecological region and their interactions, and to a small extent by the cultivar effect. Cultivars Sailor and Linus were widely adapted to all agro-ecological regions studied for both crop management intensities. It is highly probable that these two cultivars will obtain high yield in all agro-ecological regions as well as with both crop management intensities studied. We observed high compatibility rankings between locations for both crop management intensities. High compatibility of the cultivar rankings in the trial locations also provides high precision when determining regions.

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“…The main attraction of the REML model is that it can handle a much wider class of variance models than simple variance components while producing unbiased estimates for both variates and covariates. It can also detect any interactions between the random experimental blocks and the fixed effects from treatments [25,26]. The mixed-model fixed effects were diameter-at-breast-height (dbh), mean annual increment (MAI), tree height, crown ratio, crown ratio reduction, lower crown height, and the total number of trees impacted by each treatment, while the random effects were the four blocks, containing 4 repetitions per block, within the framework of an unbalanced block design (Proc Mixed) while using SAS version 9.4 [27].…”

Section: Discussionmentioning

confidence: 99%

The Hungry Bob Fire & Fire Surrogate Study: A 20-Year Evaluation of the Treatment Effects

McCaskill

2018

Forests

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The Hungry Bob fuels reduction project was part of a 12-site National Fire and Fire Surrogate (FFS) network of experiments conducted across the United States from the late 1990s through the early 2000s to determine the regional differences in applying alternative fuel-reduction treatments to forests. The Hungry Bob project focused on restoration treatments applied in low elevation, dry second-growth ponderosa pine (Pinus ponderosa subsp. ponderosa (Douglas ex C. Lawson) and Douglas-fir (Pseudotsuga menziesii subsp. glauca (Beissn.) Franco forests of northeastern Oregon. Treatments included a single entry thin from below in 1998, a late season burn in 2000, a thin (1999) followed by burning (2000), and a no-treatment control. This paper represents results 20 years after treatments and focuses on the treatment effects upon tree diameter growth, crown health, and ladder fuel conditions within the dry eastside stands. The Thin + Burn units produced the best diameter growth in ponderosa pine trees, whereas the Thin units had the best growth for Douglas-fir. The Burn treatment did not improve diameter growth over the Controls. The Thin + Burn treatments also produced trees with the highest tree crown ratios. The Burn unit trees had lower crown ratios compared to the Control trees. The crown reduction (reduction in tree crown ratio since 2004) was largest in the Burn-only units and smallest in the Thin + Burn units. Finally, the heights to the lower tree crowns were highest in the Thin + Burn trees and lowest in the Burn unit trees. Based upon the 20-year responses, the Thin + Burn treatments produced the best conditions for stand growth, while limiting fire stress upon residual tree crowns. It also proved most effective at reducing ladder fuels as represented by higher tree crown heights.

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Four-way data analysis within the linear mixed modelling framework

Cited by 5 publications

References 27 publications

Stability analysis of tuber yield using unbalanced data from potato variety trials

Stability analysis of tuber yield using unbalanced data from potato variety trials

Adaptation patterns of winter wheat cultivars in agro-ecological regions

The Hungry Bob Fire & Fire Surrogate Study: A 20-Year Evaluation of the Treatment Effects

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