Effects of environment and genotype on growth traits in poplar clones in Northeast China

Jiang, Luping; Pei, Xiaona; Hu, Yingmo; Chiang, Vincent L.; Zhao, Xiyang

doi:10.1007/s10681-021-02894-w

Cited by 10 publications

(10 citation statements)

References 52 publications

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“…The trial and selection of clones including the clone experiments, the estimation of genetic parameters and the evaluation of clones represent important means for genetic improvement. Estimation of phenotypic coefficients of variations (PCVs), genotypic coefficients of variations (GCVs) and repeatability is necessary for selecting superior clones for specific or large-scale areas across environments [77,78]. In this study, the PCVs and GCVs of different phenotypic traits based on manual measurements and LiDAR extraction ranged from 0.054 to 0.169, which showed a low or moderate variance according to Meena et al [79].…”

Section: Genetic Characteristic and Clone Evaluationmentioning

confidence: 83%

Phenotypic Traits Extraction and Genetic Characteristics Assessment of Eucalyptus Trials Based on UAV-Borne LiDAR and RGB Images

et al. 2022

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Phenotype describes the physical, physiological and biochemical characteristics of organisms that are determined or influenced by genes and environment. Accurate extraction of phenotypic data is a prerequisite for comprehensive forest phenotyping in order to improve the growth and development of forest plantations. Combined with the assessments of genetic characteristics, forest phenotyping will help to accelerate the breeding process, improve stress resistance and enhance the quality of the planted forest. In this study, we disposed our study in Eucalyptus trials within the Gaofeng forest farm (a typical Eucalyptus plantation site in southern China) for a high-throughput phenotypic traits extraction and genetic characteristics analysis based on high-density point clouds (acquired by a UAV-borne LiDAR sensor) and high-resolution RGB images (acquired by a UAV-borne camera), aiming at developing a high-resolution and high-throughput UAV-based phenotyping approach for tree breeding. First, we compared the effect of CHM-based Marker-Controlled Watershed Segmentation (MWS) and Point Cloud-based Cluster Segmentation (PCS) for extracting individual trees; Then, the phenotypic traits (i.e., tree height, diameter at breast height, crown width), the structural metrics (n = 19) and spectral indices (n = 9) of individual trees were extracted and assessed; Finally, a genetic characteristics analysis was carried out based on the above results, and we compared the differences between high-throughput phenotyping by UAV-based data and on manual measurements. Results showed that: in the relatively low stem density site of the trial (760 n/ha), the overall accuracy of MWS and PCS was similar, while in the higher stem density sites (982 n/ha, 1239 n/ha), the overall accuracy of MWS (F(2) = 0.93, F(3) = 0.86) was higher than PCS (F(2) = 0.84, F(3) = 0.74); With the increase of stem density, the difference between the overall accuracy of MWS and PCS gradually expanded. Both UAV–LiDAR extracted phenotypic traits and manual measurements were significantly different across the Eucalyptus clones (P < 0.05), as were most of the structural metrics (47/57) and spectral indices (26/27), revealing the genetic divergence between the clones. The rank of clones demonstrated that the pure clones (of E. urophylla), the hybrid clones (of E. urophylla as the female parent) and the hybrid clones (of E. wetarensis and E. grandis) have a higher fineness of growth. This study proved that UAV-based fine-resolution remote sensing could be an efficient, accurate and precise technology in phenotyping (used in genetic analysis) for tree breeding.

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Section: Genetic Characteristic and Clone Evaluationmentioning

confidence: 83%

Phenotypic Traits Extraction and Genetic Characteristics Assessment of Eucalyptus Trials Based on UAV-Borne LiDAR and RGB Images

et al. 2022

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“…are one of the most important economic tree species due to their rapid growth [ 1 ], short rotation [ 2 ], adaptability [ 3 ], and excellent wood properties [ 4 ] in temperate regions of the world [ 5 ]. Genetic improvement research on poplar has been conducted for nearly 80 years [ 6 ], and many improved varieties have been selected and used widely [ 7 ], playing an important role in pulpwood [ 8 ], plywood [ 9 ], medium-density fiberboard [ 10 ], water conservation effects [ 11 ], and road greening [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Variations in Growth and Photosynthetic Traits of Polyploid Poplar Hybrids and Clones in Northeast China

Jiang

Cai

et al. 2022

Genes

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To evaluate differences among 19 different ploidy hybrid poplar clones grown in northeast China, 21 traits related to growth traits and photosynthetic characteristics were detected and analyzed. Abundant phenotypic variations exist among and within populations, and these variations are the basis of forest tree genetic improvements. In this research, variance analysis showed that the traits except the net photosynthesis rate among the different ploidies and all the other traits exhibited significant differences among the ploidies or clones (p < 0.01). Estimation of phenotypic coefficients of variation, genotypic coefficients of variation, and repeatability is important for selecting superior materials. The larger the value, the greater the potential for material selection improvement. The repeatability of the different traits ranged from 0.88 to 0.99. The phenotypic and genotypic coefficients of variation of all the investigated traits ranged from 6.88% to 57.40% and from 4.85% to 42.89%, respectively. Correlation analysis showed that there were significant positive correlations between tree height, diameter, and volume. Transpiration rate, intercellular carbon dioxide concentration, and stomatal conductance were significantly positively correlated with each other but negatively correlated with instantaneous water use efficiency. Growth traits were weakly correlated with photosynthetic indexes. The rank correlation coefficient showed that most of the growth indicators reached a significant correlation level among different years (0.40–0.98), except 1-year-old tree height with 4-year-old tree height and 1-year-old ground diameter with 3-year-old tree height, which indicated the potential possibility for early selection of elite clones. Principal analysis results showed that the contribution rate of the first principal component was 46.606%, and 2-year-old tree height, 2-year-old ground diameter, 3-year-old tree height, 3-year-old ground diameter, 3-year-old diameter at breast height, 3-year-old volume, 4-year-old tree height, 4-year-old ground diameter, 4-year-old diameter at breast height, and 4-year-old volume showed higher vector values than other traits. With the method of multiple-trait comprehensive evaluation to evaluate clones, SX3.1, SY3.1, and XY4.2 were selected as elite clones, and the genetic gains of height, basal diameter, diameter at breast height, and volume of selected clones ranged from 12.85% to 64.87% in the fourth growth year. The results showed fundamental information for selecting superior poplar clones, which might provide new materials for the regeneration and improvement of forests in Northeast China.

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“…Phenotypic trait variations of plants are affected by the genotype, environment, and genotype × environment (G × E) interaction effects (Leal-Saenz et al, 2020;Jiang et al, 2021;Matsumoto et al, 2021). Superior genotypes could be used to improve traits without increasing the cultivation area, which is encouraging as land is becoming a rare resource (Marcatti et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…In addition, as larger areas are needed, E. ulmoides breeding programs are complex and expensive to implement (Souza et al, 2019). Considering that the cultivation area is a comprehensive reflection of various environmental factors (Jiang et al, 2021), it is necessary to analyze the crucial factors that affect the traits. This information would be beneficial in selecting a wider range of cultivation areas.…”

Section: Introductionmentioning

confidence: 99%

“…For example, genotypes that perform better in one environment may perform inferiorly in other environments (Li et al, 2015). Therefore, a clear understanding of the G × E interaction effect is crucial for E. ulmoides improvement (Jiang et al, 2021). Researchers have used the genotype + genotype × environment (GGE) interaction biplot (Yan et al, 2000;Yan, 2010) to analyze the G × E interaction effect in Populus (Liu et al, 2020;Jiang et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

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Phenotypic Trait Subdivision Provides New Sight Into the Directional Improvement of Eucommia ulmoides Oliver

Deng

Hu²,

et al. 2022

Front. Plant Sci.

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Eucommia ulmoides Oliver has been used extensively in many fields. To satisfy increasing demand, great efforts must be made to further improve its traits. However, limited information is available on these traits, which is a factor that restricts their improvement. To improve traits directionally, nine clones were assigned to six sites to analyze the effect of different variation sources (the genotype, site, and genotype × environment interaction) on the phenotypic trait. In addition, a mixed linear model was used to assess the contribution of variations. In general, for most traits, the site effect accounted for a larger proportion of the variance, followed by the genotype and genotype × environment interaction effects. All the studied genotypes and sites had a significant effect, indicating that they could be improved by selecting preferable genotypes or cultivation areas, respectively. Interestingly, growth traits or economic traits could be improved simultaneously. Trait performance and stability are necessary when selecting genotypes. Moreover, the discriminating ability of genotypes should be considered in selecting cultivation areas. Annual mean temperature and annual sunshine duration proved to be crucial factors that affected the traits. They were correlated positively with economic traits and leaf yield and correlated negatively with growth traits. These findings contributed to selecting a wider range of cultivation areas. Regarding the genotype × environment interaction effect, there were significant differences only in the gutta-percha content, the total number of leaves, and the chlorogenic acid content. These traits could also be improved by choosing appropriate genotypes for the local environment. The research has provided preliminary data on the main factors that affect the traits of E. ulmoides and offered solutions for trait improvement. This information could be a reference for the trait improvement of other plants.

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Effects of environment and genotype on growth traits in poplar clones in Northeast China

Cited by 10 publications

References 52 publications

Phenotypic Traits Extraction and Genetic Characteristics Assessment of Eucalyptus Trials Based on UAV-Borne LiDAR and RGB Images

Phenotypic Traits Extraction and Genetic Characteristics Assessment of Eucalyptus Trials Based on UAV-Borne LiDAR and RGB Images

Variations in Growth and Photosynthetic Traits of Polyploid Poplar Hybrids and Clones in Northeast China

Phenotypic Trait Subdivision Provides New Sight Into the Directional Improvement of Eucommia ulmoides Oliver

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