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DocumentPatula pine (Pinus patula) cones opening under different treatments for rapid seed extraction in Londiani, Kenya
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Seed extraction from pines is challenging to the forestry sector globally. This is usually contributed by the pine cone anatomy that opens through a function of temperature and humidity which varies widely in the pine growing regions of the world and the Pinus species as observed in previous works done on Pinus roxburghii, Pinus halepensis, Pinus wallichiana, Pinus pinaster, Pinus radiata, and Pinus sylvestris. This study sought to reduce the extraction time and improve the extraction efficiency of Pinus patula seed in Kenya. The experimental design used was two factorial design with replicates of twenty cones randomly picked per treatment. Data analysis was analyzed through ANOVA with a Pvalue of 0.05. We present evidence that soaking does not influence the opening of cones and seed yield for the optimum temperature which the study determined to be 65°C. We also present evidence that, for rapid seed extraction, the temperature 65°C with an exposure period of between 4 and 24 h is significantly effective. This study presents a new understanding of rapid seed extraction, which contributes to one of the Kenya Forestry Research Institute’s strategic objectives of generating technologies for enhanced production of superior germplasm for priority tree species. Keyword: Research ID: 3469689 -
ArticleEfficacy of biological control measures on pine needles caterpillar Metanastria latipennis walker in Pinus kesiya royel ex Gordon Plantation in Southern Shan State, Myanmar
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.The study was carried out to investigate the efficacy of Bacillus thuringiensis sub sp. kurstaki (Btk), bio insecticide Azadirachtin and established natural enemies (Mantids) on Metanastria latipennis in Pinus kesiya Plantation in Southern Shan State of Myanmar. The experiment was conducted in pine plantations established in 2010 in Taung Lay Lone Reserved Forest, Taungyi Township, at about latitude 25˙ 40' N and longitude 96˙ 51' E at an altitude of approximately 1160 m. Research was conducted from May, 2017 to August, 2019. A Randomized Complete Block Design (RCBD) was used with four replications. Each block containing the four treatments randomly assigned to test the effect of Btk, Azadirachtin, released the Mantids on pine caterpillar Metanastria latipennis. Sampling was done on a sample plot measuring 20m x 20 m with 20 sample trees. In control measures, (i) 30 ml of Btk per 10 litres of water, (ii) 0.75 % Azadirachtin 112.5 ml per 10 litres of water, (iii) biological control (established the mantids), and (iv) control were tested. In this experiment, Btk and Azadirachtin treatments significantly reduced the level of infestation compared to the control. Biological control by predators was not significantly different with the control. Keywords: Pinus kesiya plantations, caterpillar Metanastria latipennis, Bacillus thuringiensis sub sp. kurstaki, Azadirachtin, Bio control agent (Mantises), Southern Shan State, Myanmar ID: 3486963 -
DocumentThe genomic selection of Korean red pine (Pinus densiflora)
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.The breeding of forest tree requires a much longer and more expensive effort than the breeding of other plants. Especially, one breeding cycle for Korean red pine takes 40-50 years in conventional breeding. To reduce the period of breeding cycle of Korean red pine, genomic selection (GS), where analysis is based on the all effects of quantitative trait loci (QTLs) using molecular markers of high-density, was attempted using individual data of four half-sib populations. The genotypic and phenotypic data of an individual were obtained from 50K SNP chip and 3D LiDAR scanner, respectively. For genomic selection related to four growth traits, the predictive ability of seven genomic prediction models was evaluated within- and between-regional approach. At first, the number of markers (2K, 6K, 10K and 16K) was tested and it was found that predictive abilities of genomic prediction models showed similar patterns with 6K and more markers. In addition, the predictive abilities of genomic prediction with 6K markers and three-fold cross-validation within region were estimated as 0.07~0.38 in height, 0.06~0.29 in DBH, 0.02~0.27 in straightness, and 0.06~0.25 in volume. Most of the genomic prediction results were higher than the results of A-BLUP based on the pedigree. Subsequently, when genomic prediction between regions was performed by using five regions as training population and a region as validation population, the predictive abilities were lower than that of within-region predictions. These results indicated that it is possible to improve Korean red pine for growth trait through genomic selection within region, but more experiment will be needed for between-region prediction. This study was the first trial of genomic selection for Korean forest tree, and suggested the possibility of its application to Korean red pine breeding. Keywords: Research ID: 3619084
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