| Acacia crassicarpa geographical ecology strains were harvest form seed trees what wereintroduced from Australia. And then chose41strains. The strains were treated and breeding inKowloon Ridge Forest. Code: z127, z88, z64, z38, z138, z95, z136, z36, z62, z26, z49, z63, z77,z85, Z65, z140, z118, Z94, z69, z110, z123, z130, z133, z98, Z113, Z22, Z31, z117, z42, z99, z74,Z91, z120, Z52, Z101, Z100, Z35, z47, Z87, ZZHJ-1, ZZHJ-2, ZZHJ-3. Used of seed traits in1000-grain weight and germination for seed traits in index, survey different months’ seedlingheight and ground diameter. Using correlation analysis to correlate the relationship between seedtraits and seedling height, ground diameter.Using the variance analysis and correlation coefficientto analysis the relationship about seedling height and ground diameter between June andNovember, to verify the dependability of early selection. Choosed some of A.crassicarpageographical ecology strains when they were half-year old. To analysis growth using growth indexsuch as seedling height, ground diameter. etc. The use of electrical conductivity, relative watercontent, stress, physiological and biochemical indexes of half-year old A.crassicarpa of a seedlingdrought resistance prediction. Using correlation analysis, principal component analysis, fuzzysubordinate function value method for comprehensive evaluation of drought tolerance, analysis ofgrowth indexes and drought resistance of the correlation between growth indices of droughttolerance, verify the feasibility of forecasting. The main results of this study were as follows:1. The results of Acacia crassicarpa geographic ecological strains seed traits evaluation. Thecorrelation analysis between seed traits and growth index of41Acacia crassicarpa geographicalecology strains. The correlation coefficient of seed traits and growth index was not the same indifferent growth period. Correlation coefficients in the different growth period showed noregularity. Correlation coefficients in the different growth period of seed traits and growth indexwas not related to the level of significant. That is,1000-grain weight, germination rate had littleeffect on seedling early growth. When selected of Acacia crassicarpa geographical ecology finestrains,1000-grain weight and germination rate had little effect on the selection effect. Throughthe1000-grain weight, germination rate of seedlings for early selection had little of reliability.2. The results of Acacia crassicarpa geographic ecological strains early evaluation of growth.On the annual Acacia crassicarpa seedlings in different growth period in seedling height, grounddiameter were investigated. Before planting, survey of seedling height, ground diameter in January, February, April and June. After afforestation, survey of seedling height, ground diameter inNovember. Each months’ differences of the seedling height and ground diameter in differentstrains were remarkable, to provided possible of the early evaluation. Analysis the correlation ofseedling height and ground diameter. The phase relations between seedling height and grounddiameter were apparent in the0.01level. The seedling height and ground diameter were controledby the higher genetic, so the seedling height and ground diameter of two indicators for earlyevaluation had the possibility. Analysis the correlation of before afforestation data and afterafforestation data. In June before afforestation, seedling height to25%selected rate selected finestrains of genetic gain. The maximum could reach134.0825%, seedling height were selected tochoose fine strains of No.42, No.43, No.33, No.41, No.40, No.3, No.19, No.18, No.11, No.39. InNovember, seedling height to25%selected rate selected fine strains of genetic gain, seedlingheight were selected to choose fine strains of No.42, No.41, No.33, No.43, No.11, No.3, No.40,No.19, No.14, No.25. Selected10fine strains of June and selected10fine strains of Novemberwere basic consistent, therefore, on seedling height growth of reliability evaluation for early. InJune before afforestation, ground diameter to25%selected rate selected fine strains of genetic gain.The maximum could reach51.49%, ground diameter were selected to choose fine strains of No.33,No.43, No.40, No.12, No.19, No.42, No.3, No.38, No.44, No.41. In November, ground diameterto25%selected rate selected fine strains of genetic gain, ground diameter were selected to choosefine strains of No.3, No.33, No.43, No.6, No.20, No.25, No.17, No.14, No.27, No.41. Selected10fine strains of June and selected10fine strains of November were little consistent. Therefore,Acacia crassicarpa geographical strains early in diameter as an index for early evaluation ofreliability was not strong.3. The drought resistance evaluation of some of Acacia crassicarpa geography ecologicalstrains. A random selection of Acacia crassicarpa in9strains of41strains (No.15, No.19, No.20,No.23, No.34, No.35, No.42, No.43, No.44) back to the school’s cultivation a month of growthindex determination. The seedling height, ground diameter, root length and root ratio werechoosed as growth index. Every growth index of Acacia crassicarpa had correlationship. In orderto have a simple selection of Acacia crassicarpa about drought resistance, analysis the correlationbetween drought resistance index and seedling growth index. Forecasted the feasibility of growthindex for drought resistance. Analysis drought resistance of9strains on growth indexes of previously mentioned. Analysis effects of water stress on Acacia crassicarpa seedlings on relativeconductivity, chlorophyll content, chlorophyll fluorescence, soluble sugar content, RWC andRWD. Through physiological and biochemical index comprehensive evaluation of droughtresistance, analysis the correlation of drought resistance and growth index. In order tocomprehensive evaluation of Acacia crassicarpa seedlings of9strains for drought resistance.With different resistance index using principal component analysis, the fuzzy subordinate functionmethod, calculated for each a comprehensive membership values of Acacia crassicarpa seedlingsof9strains for drought resistance evaluation. Analysis the correlation on the growth indexes anddrought resistance of Acacia crassicarpa. Correlation of drought resistance and growth indexesdid not reach significant level. So, using of growth index to predict drought resistance wasunreliable. |
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