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| 1 | 37份文冠果优新种质资源表型性状遗传变异分析显示文摘[目的]明确文冠果优新种质资源表型性状的变异特点和多样性,为遗传改良提供依据。[方法]2019—2020年连续2年对37份种质资源的35个表型性状进行了方差分析、主成分分析、聚类分析等。[结果]37份种质资源的35个表型性状的平均变异系数为25.49%,变异范围为12.80%~63.25%,各部位变异系数大小排序为枝条性状(45.51%)>花序性状(31.01%)>果实性状(24.67%)>花性状(24.35%)>种子性状(21.82%)>叶性状(21.45%)。平均表型分化系数为80.525%,表明种质资源间的变异是表型变异的主要来源。主成分分析结果表明,前9个主成分的累积方差贡献率达到80.333%,可以综合反映35个性状的信息。聚类分析将37份文冠果种质资源根据其特点分为2个主要类群,6个亚类群,并初步明确了各亚类群性状特征和育种价值。[结论]文冠果种质资源表型性状遗传变异丰富,其中,花序、果实和花等性状变异范围大于叶片和种子,为文冠果种质资源的遗传改良、保存和评价提供了有益的信息。 | 王娅丽 顾志杰 贾巧霞 | 2022 | 林业科学研究2022，35，5： | 8 |
| 2 | Variability in pod and seed traits of Pongamia pinnata Pierre ecotypes in North Karnataka, India显示文摘An evaluation of 30 naturally available candidate-plus trees(CPTs) of Pongamia pinnata was carried out to elucidate the genetic variability and relationship of pod and seed traits and progeny growth traits to select the best planting material with higher productivity. Significant variations were observed in pod and seed characteristics,oil content, and during the progeny trial studies. The highest values were found in 100-pod weight(410.4 gm)and 100-seed weight(195.92 gm) and the phenotypic and genotypic variance was found maximum in 100 pod weight(4364.71 and 4289.93) and 100 seed weight(813.8 and768.93), respectively. Estimates of the phenotypic coefficient of variance were higher than the genotypic coefficient of variance for all the pod and seed traits and progeny growth traits, which depict the predominant role of the environment. Approximately 99 % of broad-sense heritability was revealed in oil content, followed by 100-pod weight(98.28 %), and canopy growth(96.93 %). Pod thickness shows the highest genetic advance of 56.61 %,followed by pod width(53.43 %) and canopy growth(49.3 %). Pod and seed traits have proven a positive correlation between each other and with progeny growth traits,except a few negative values. Hierarchical clustering by Ward's minimum variance cluster analysis showed phylogeographical patterns of genetic diversity. K-means clustering revealed that trees from different geographical regions were grouped together in a cluster where as trees from the same geographical area are placed in a different cluster. Seven Pongamia ecotypes(GRP-8, 9, 13, 14, 18,28, and 29) are found superior in traits, namely 100-pod weight, 100-seed weight, oil content, germination rate,plant height, canopy growth, and collar diameter. The traits100-pod weight and 100-seed weight are highly correlated with the progeny growth traits and even have higher heritability and genetic advantages. | Vinod Kumar Patil G.R.Naik | 2016 | Journal of Forestry Research2016，27，3： | 1 |
| 3 | Genotype×year interaction of pod and seed mass and stability of Pongamia pinnata families in a semi-arid region显示文摘Sixteen pongamia families were evaluated in a field experiment for eight consecutive years in dryland conditions to identify stable,high-yielding families.The trial was conducted in a randomized complete block design with three replications.Each family,consisting of nine trees per replication,was planted at a spacing of3 m x 3 m.Yield stability was analyzed using(1)Eberhart and Russel’s regression coefficient(β_i)and deviation from regression(S_d^2),(2)Wrike’s ecovalence(W_i);(3)Shukla stability variance(σ_i^2);and(4)Piepho and Lotito’s stability index(L_i).Families were also analyzed for adaptability and stability using AMMI and GGE biplots graphical methods.The study revealed significant variances due to family and family x year interaction for pod and seed yield.Families performed differently and ranked differently across years.The performance of families was influenced by both genetic factor and environmental conditions in different years.Among families tested,TNMP20,Acc14,TNMP14 and Acc30 were high yielders for pods,and Acc14,Acc30,TNMP6,RAK19 and TNMP14 were high for seed yield.According to the Eberhart and Russell model,Acc30,TNMP14 and TNMP3 were stable across years.In the graphical view of family x year interaction based on AMMI methods,TNMP3,TNMP4 and TNMP14 had greater stability with moderate seed yield,and Acc14 and Acc30 had moderate stability with high seed yield.On the other hand,GGE biplots revealed Acc14,Acc30 and TNMP14 as high yielders with moderate stability.AMMI and GGE biplots were able to capture nonlinear parts of the family x year interaction that were not be captured by the Eberhart and Russel model while also identifying stable families.Based on different methodologies,Acc14,Acc30 and TNMP14 were identified as high yielding and stable families for promoting pongamia cultivation as a biofuel crop for semi-arid regions. | G.R.Rao B.Sarkar B.M.K.Raju P.Sathi Reddy A.V.M.Subba Rao Jessie Rebecca | 2020 | Journal of Forestry Research2020，31，4： | 0 |
| 4 | Progeny evaluation of Jatropha curcas and Pongamia pinnata with comparison to bioproductivity and biodiesel parameters显示文摘Progeny studies of Jatropha curcas and Pongamia pinnata were carried with respect to bioproductivity,pod and seed characters which is one of the selection methods in tree improvement programmes. Variations in bioproductivity and biodiesel parameters of both the plants were compared every 6 months for 4 years of investigation and analyzed by analysis of variance and correlation coefficient by Pearson's method using software Graphpad instat 3.06(for Windows and Mac). P. pinnata has better germination rate(71.4 %), 100 pod weight(PW)(311.59 g) and 100 seed weight(SW)(173.46 g) as compared to J. curcas for germination rate(43.2 %), 100 PW(111.29 g) and 100 SW(67.46 g). P. pinnata has strong correlation for plant height to canopy growth(CG)(0.948), collar diameter(CD)(0.994), number of branches per plant(NBP)(0.995) and to number of leaves per branch(NLB)(0.862) as compared to J.curcas which showed good correlation among plant height to CG(0.976), CD(0.970), NBP(0.988), NLB(0.920) and to number of pods per branch(0.657). However, J. curcas depicted negative correlation for pod breadth to seed length(SL)(-0.447), seed breadth(-0.248) and to seed thickness(ST)(-0.364) and among the 100 PW to SL(-0.199), ST(-0.220) and to 100 SW(-0.704). About 4 kg of P. pinnata seeds were required for each liter of crude oil which yields896 ml of biodiesel on transesterification as compared to5.66 kg of J. curcas seeds for a liter of crude oil, producing about 663 ml of biodiesel. The quality of biodiesel meets the major specification of American Society for Testing and Materials(ASTM) standards for biodiesel. The crude glycerin and seed cake obtained as byproduct during biodiesel production were also measured which can be purified and used in composting, animal feeds, pharmaceuticals and cosmetic industries. | Vinod Kumar Patil Prithviraj Bhandare Pramod B. Kulkarni G.R.Naik | 2015 | Journal of Forestry Research2015，26，1： | 0 |
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