A method for estimating yield after blending different camellia varieties

Abstract

This invention discloses a method for estimating the yield of Camellia oleifera after variety configuration, belonging to the field of economic forest yield prediction technology. The scheme is as follows: First, the flowering amount of each variety is investigated and the flowering period is divided using the standard branch method; the flowering period overlap coefficient between varieties is calculated; then, artificial emasculation and pollination are performed to obtain the fruit setting rate, single fruit weight, seed yield, and oil content of different combinations; the yield per plant of each pollinated combination is estimated by combining the above parameters, and the total stand yield is calculated by substituting the parameters into the harmonic model according to the configuration ratio. This method realizes the quantification of flowering period overlap, visualization of pollination combination differences, and accurate prediction of total yield, reducing the yield prediction error per acre from 30% to within 8%, and allowing for optimization of variety ratios during the design stage, resulting in a yield increase of more than 24%.

Description

Technical Field

[0001] This invention belongs to the field of economic forest yield prediction technology, specifically a method for estimating yield after different camellia oleifera varieties are configured. By quantifying the probability of flowering period coincidence, pollination and fruit setting characteristics and economic traits of different camellia oleifera varieties, the total yield of camellia oleifera forest after variety configuration is estimated. Background Technology

[0002] Camellia oleifera is one of my country's most important woody oil crops, and its yield formation is highly dependent on cross-pollination. Current technologies mainly suffer from the following three shortcomings:

[0003] (1) The matching degree of flowering period cannot be quantified.

[0004] Traditional pollination schemes rely solely on experience or qualitative observation to determine whether the flowering periods of different varieties coincide, lacking a quantifiable "flowering period overlap coefficient," which leads to a high degree of subjectivity and poor repeatability in pollination efficiency assessment.

[0005] (2) Yield estimation ignores pollination combination effect

[0006] Existing yield prediction models generally use the linear extrapolation method of "average yield of a single variety × total number of plants", which does not take into account the significant differences in fruit setting rate, single fruit weight and oil content of different male-female parent combinations (the data in Tables 4 and 5 differ by more than 3 times), resulting in a deviation of more than 30% between the estimated results and the actual yield.

[0007] (3) Lack of aggregate models for configuration optimization

[0008] Existing technologies have failed to establish a mathematical relationship between “variety configuration ratio, pollination combination yield, and total stand volume”. Growers cannot predict which configuration mode will yield the highest tea oil output during the design phase, leading to blind intercropping of varieties and a long-term yield of less than 25 kg per mu.

[0009] The aforementioned deficiencies directly lead to insufficient scientific design in the new afforestation schemes for camellia oleifera, and the transformation of low-yield forests requires large investments and yields slow results, becoming a common bottleneck restricting the improvement of the quality and efficiency of the camellia oleifera industry. Summary of the Invention

[0010] To address the above problems, this invention provides a method for estimating yield after configuring different Camellia oleifera varieties. This method quantifies the probability of flowering period coincidence and integrates the yield differences of pollination combinations to estimate the total yield of Camellia oleifera forests, providing a basis for decision-making in variety configuration optimization.

[0011] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0012] A method for estimating yield after configuring different camellia oleifera varieties includes the following steps:

[0013] (1) During the flowering period of Camellia oleifera, the number of flowers per plant of each variety was investigated by the standard branch method, and the flowering stage and duration were recorded. The flowering stage included the initial flowering stage, the early flowering stage, the peak flowering stage and the end flowering stage.

[0014] (2) Based on the flowering stage, duration and average daily flowering amount of each variety, calculate the flowering overlap coefficient between different varieties. The flowering overlap coefficient reflects the pollination probability of the male parent and the female parent during the flowering period.

[0015] (3) Select the white but unopened flowers of the female parent for artificial pollination, and use the pollen-shedding flowers of the male parent for pollination. After pollination, seal the pistil and mark it, and count the final fruit set rate of each pollination combination.

[0016] (4) Collect fruits during the fruit ripening period and measure fruit trait indicators such as single fruit weight, fresh fruit dry seed yield, and dry seed oil content.

[0017] (5) Estimate the yield per plant under a certain pollination combination based on flowering amount, flowering period overlap coefficient, fruit set rate, single fruit weight, fresh fruit dry seed yield and dry seed oil content;

[0018] (6) Estimate the total yield of the camellia forest based on the configuration ratio of each variety in the camellia forest and the yield per plant of the corresponding pollination combination.

[0019] The beneficial effects of the above technical solution are as follows: by incorporating "flowering period coincidence, pollination effect, and economic traits of fruit" into the same calculation chain, the yield estimation is upgraded from the traditional coarse linear model of "average of single variety × number of plants" to a hierarchical and precise model of "combination - single plant - total amount", and the prediction error is reduced from more than 30% to less than 8%, providing a quantitative basis for the selection of configuration schemes.

[0020] As a further improvement to the above scheme: when investigating the number of flowers, uniformly select 4-year-old branches with a diameter of 8-12mm, take 5 standard branches in each of the four directions of the tree (east, south, west, and north), repeat 5 times, and calculate the total number of flowers per tree.

[0021] The beneficial effects of the above technical solution are: it unifies the age, thickness and spatial sampling location of branches, eliminates the deviation in flower quantity caused by differences in sampling locations, and establishes the flowering period overlap coefficient and subsequent yield estimation on a repeatable and comparable data basis.

[0022] As a further improvement to the above scheme, the formula for calculating the flowering period overlap coefficient is as follows:

[0023] .

[0024] The beneficial effects of the above technical solution are as follows: for the first time, "flowering coincidence" is transformed into a quantifiable probability, which solves the problems of strong subjectivity and inability to make horizontal comparisons in traditional experience-based judgments, and provides reliable parameters for subsequent pollination success rate calculations.

[0025] As a further improvement to the above scheme: when artificially pollinating, select unopened flowers of the female parent and remove the stamens. Use the anthers of the male parent that have already released pollen for pollination. Once yellow pollen is seen on the stigma, immediately seal the stigma with medical tape. Each combination should be repeated with no less than 100 flowers.

[0026] The beneficial effects of the above technical solutions are: standardizing the processes of emasculation, pollination, sealing, and marking; preventing interference from insects and wind and rain; ensuring that fruit set rate data truly reflects the combined effect; and improving the accuracy of model input parameters.

[0027] As a further improvement to the above scheme: single plant yield = number of flowers × flowering period overlap coefficient × fruit set rate × single fruit weight × fresh fruit to dry seed yield × dry seed oil content. The actual oil yield is obtained by multiplying the six indicators together.

[0028] The beneficial effects of the above technical solution are: it links pollination, fruit setting, and economic traits of fruit into a complete yield chain, avoiding the one-sidedness of the past, which only counted the number of fruits without considering the oil content or only counted the single fruit without considering the fruit setting rate, so that the estimated result of a single plant deviates from the actual measured oil yield by less than 5%.

[0029] As a further improvement to the above scheme, the formula for estimating the total yield of the camellia oleifera forest is as follows:

[0030]

[0031] in,

[0032] —The first in the camellia oleifera forest Number of plants per variety;

[0033] —The sum of the number of plants for all varieties;

[0034] —Based on variety For parent plants and varieties The yield per plant is estimated by the pollination combination of the male parent according to the above-mentioned formula for estimating the yield per plant;

[0035] —Total number of varieties in the camellia oleifera forest;

[0036] The formula first calculates the weighted average expected yield per tree for each variety under the "crossbreeding / whole forest" condition, then weights it according to the number of trees of each variety, and finally obtains the total yield of the camellia oleifera forest.

[0037] The beneficial effects of the above technical solution are: it fully considers the biological characteristics of Camellia oleifera, which is mainly cross-pollinated and has a low success rate of self-pollination, so that the total yield prediction results can be sensitively adjusted with the configuration ratio, providing direct numerical basis for selecting high-yield configuration schemes in the design stage.

[0038] As a further improvement to the above scheme: before determining the dry seed yield of fresh fruit, the seeds are placed in a 60℃ oven and dried continuously until constant weight. The constant weight standard is defined as the difference between two weighings being ≤0.001g, and then the ratio of dry seed mass to fresh fruit mass is calculated.

[0039] The beneficial effects of the above technical solution are: unifying the constant weight determination standard, eliminating the impact of moisture content fluctuations on seed yield and subsequent oil content calculation, and improving the repeatability and comparability of the input parameters of the single-plant yield model.

[0040] As a further improvement to the above scheme: the maturity of the fruit is marked by the natural cracking of 5% of the fruit shells on the whole plant, and the harvest is completed within 3 days before or after the first frost.

[0041] The beneficial effects of the above technical solution are: unifying the harvest time, avoiding systematic deviations in single fruit weight and oil content caused by harvesting too early or too late, and ensuring the comparability of trait data between different combinations.

[0042] As a further improvement to the above scheme: after obtaining the total yield of camellia oleifera forests corresponding to different configuration ratios, the scheme with the highest yield is selected as the optimal variety configuration ratio by comparing the total yield or yield per mu of each configuration scheme.

[0043] The beneficial effects of the above technical solution are as follows: by using the established yield model, configuration schemes can be compared and selected in the design stage, and the actual yield per mu increased from 42.08 kg to 52.37 kg, realizing the principle of calculating before planting and increasing yield by 24.3%, avoiding the low yield risk caused by traditional experience-based configuration.

[0044] As a further improvement to the above scheme, the above estimation method is used to optimize the configuration ratio of camellia oleifera forest varieties, with the goal of maximizing the predicted total yield, and the proportion of each variety is adjusted.

[0045] The beneficial effects of the above technical solution are as follows: by applying "yield prediction" in reverse to "planting decision-making", the optimal variety mixing ratio can be determined before low-yield improvement or new afforestation. The measured yield per mu increased from 42.08 kg to 52.37 kg, an increase of 24.3%, realizing "calculation before planting, high yield is expected".

[0046] The overall beneficial effects of this invention compared to existing technologies are as follows:

[0047] This invention, by introducing two core parameters—"flowering period overlap coefficient" and "yield per plant of pollinating combination"—has for the first time achieved:

[0048] 1. Pollination efficiency has changed from a qualitative description to a quantitative calculation;

[0049] 2. The production estimation error was reduced from >30% to <8% (verified by actual measurement in Example 3);

[0050] 3. Different configuration options can be compared during the design phase, which can increase the yield per mu by 52.3% (42.08kg→52.37kg).

[0051] This systematically solves the problems of blind configuration and distorted yield prediction caused by neglecting the quantitative analysis of flowering period and the combined effect of existing technologies, and significantly improves the economic benefits of new Camellia oleifera afforestation and low-yield forest transformation. Attached Figure Description

[0052] Figure 1 The flowering amount of six camellia oleifera varieties, namely Changlin No. 3 (CL3), Changlin No. 4 (CL4), Changlin No. 40 (CL40), Changlin No. 53 (CL53), Ganxing 48 (GX48), and Ganshi 83-4 (GS83-4), was measured.

[0053] Figure 2 This is a diagram showing the flowering stages and duration.

[0054] Figure 3 For the male parent flowers, select those that are not fully open and have already shed pollen.

[0055] Figure 4 For the selection of male parent flowers, place them in sunlight for 2 hours to allow them to release pollen.

[0056] Figure 5 During artificial pollination, the petals are cut off around the flower bud through the small incision.

[0057] Figure 6 During artificial pollination, the part of the stamen that connects to the anther is cut off.

[0058] Figure 7 During artificial pollination, it is essential to protect the style from damage during the emasculation process.

[0059] Figure 8 During artificial pollination, after emasculation, the anthers of the male parent flower are lightly dipped into the stigma.

[0060] Figure 9 During artificial pollination, a distinct yellow powder was observed on the style.

[0061] Figure 10 After artificial pollination, seal the anthers with medical tape.

[0062] Figure 11 After artificial pollination, the flowers are labeled with photos. Detailed Implementation

[0063] To enable those skilled in the art to better understand the technical solution, the present invention will be described in detail below with reference to embodiments. The description in this part is only exemplary and explanatory, and should not be used to limit the scope of protection of the present invention in any way.

[0064] Example 1: Determination of Flowering Period Overlap Coefficient

[0065] 1.1 Flowering period observation

[0066] like Figure 1 As shown, the flowering volume of six Camellia oleifera varieties, namely Changlin No. 3 (CL3), Changlin No. 4 (CL4), Changlin No. 40 (CL40), Changlin No. 53 (CL53), Ganxing 48 (GX48), and Ganshi 83-4 (GS83-4), was counted in early October using the standard branch method.

[0067] like Figure 2 As shown, the flowering amount of the six marked varieties of camellia trees was observed from October to December. The start time and duration of the flowering period were recorded for the following periods: the initial flowering period (0% to 5% of the tree is in bloom), the early flowering period (5% to 20% of the tree is in bloom), the peak flowering period (20% to 80% of the tree is in bloom), and the end flowering period (more than 80% of the tree is in bloom).

[0068] Based on the flowering amount and flowering period duration of each Camellia oleifera variety, the average daily flowering amount of each variety at different flowering stages was calculated (Table 1).

[0069] Table 1. Flowering period duration and average daily flowering quantity at each stage

[0070]

[0071] 1.2 Calculation of Flowering Period Overlap Coefficient

[0072]

[0073] Based on the formula for calculating the flowering period overlap coefficient, the flowering period overlap coefficient between each pair of varieties was calculated. Taking CL3 and CL4 as examples, as shown in Table 2, it can be found that CL3 is the female parent. When CL4 is pollinated, the flowering period overlap stages include 7 stages, each lasting 2-10 days. The flowering period overlap coefficient of each stage was calculated according to the formula, and the sum of the flowering period overlap coefficients of CL3×CL4 was 0.9074.

[0074] Table 2 Calculation of Flowering Period Overlap Coefficient for CL3 and CL4

[0075]

[0076] Based on the formula for calculating the flowering period overlap coefficient, the flowering period overlap coefficient between each pair of varieties was calculated. The distribution range of the flowering period overlap coefficient between varieties is 0.1687-1.0000 (Table 3).

[0077] Table 3 Flowering period overlap coefficient

[0078]

[0079] Example 2: Artificially controlled pollination and determination of hybrid fruit traits

[0080] 2.1 Artificial Pollination

[0081] Prepare tools such as small scissors, medical tape, hanging ropes and labels, and a pencil. Prepare for artificial pollination in a sunny weather. Select male parent flowers in advance, choosing those that are not fully open but have already released pollen. Figure 3 As shown, if the flowers have not yet released pollen, they can be placed in sunlight for 2 hours to allow the pollen to dissipate. Figure 4 As shown, take precautions against interference from insects such as bees.

[0082] Select a flower from the mother plant that has already shown white tips but has not yet opened as the flower to be pollinated. Use small scissors to cut a small opening from the lower part of the flower bud, such as... Figure 5 As shown, cut the petals around the small opening in the flower bud; as... Figure 6 As shown, carefully cut off the part of the stamen that connects to the anther; as... Figure 7 As shown, it is crucial to protect the style from damage during the emasculation process; damage to the style will prevent subsequent pollination. Figure 8-9 As shown, after emasculation, lightly dip the anther of the male parent flower into the stigma. Wait until a distinct yellow powder appears on the stigma, then... Figure 10 As shown, seal the anthers with medical tape; as Figure 11 As shown, the final label is attached, indicating that each group will be pollinated with 100 flowers.

[0083] 2.2 Fruit setting rate survey and fruit trait determination

[0084] In late October of the following year, a survey was conducted on the fruit set rate. According to the label instructions, all camellia fruits were collected according to the pollination combination, and the number of fruits was counted, which is the fruit set rate after pollination. The pollination and fruit set rate among different varieties was 23-78% (Table 4).

[0085] Table 4 Pollination and Seed Setting Rate

[0086] CL3 49% 46% 67% 55% 39% CL4 47% 42% 51% 27% 50% CL40 52% 49% 75% 41% 31% CL53 65% 49% 55% 23% 27% GX48 69% 70% 76% 61% 72% GS83-4 60% 62% 78% 68% 56%

[0087] Twenty camellia fruits were randomly selected for measurement, including the weight of a single fruit and the weight of a single seed. The seeds were then dried in a 60℃ oven for more than 24 hours until the weight no longer changed, and the seed moisture content was obtained. The yield of dried seeds from fresh fruit could be calculated based on the seed moisture content. After the dried seeds were crushed, oil was extracted using a Soxhlet extractor. The oil content of dried seeds and fresh fruit was calculated. The yield per plant was calculated by combining the flowering overlap coefficient and flowering amount. The results are shown in Table 5.

[0088] The formula for estimating yield per plant is:

[0089] Flower count (number of flowers) × Flowering period overlap coefficient (%) × Fruit set rate (%) × Single fruit weight (kg / fruit) × Fresh fruit yield of dried seeds (%) × Oil content of dried seeds (%).

[0090] It can be observed that the yield per plant varies significantly among different pollinating varieties. Specifically, the yield per plant is 0.52-0.91 kg for CL3, 0.26-1.49 kg for CL4, 0.25-0.87 kg for CL40, 0.12-0.88 kg for CL53, 0.24-1.84 kg for GX48, and 0.28-1.90 kg for GS83-4.

[0091] Table 5. Fruit characteristics and oil yield per plant

[0092] CL3×CL4 1975 0.91 49% 878 17.15 32.85 46.24 39.96 0.91 CL3×CL40 1975 0.48 45% 424 17.93 35.43 49.57 38.43 0.51 CL3×CL53 1975 0.30 67% 397 18.2 36.27 48.78 40.36 0.52 CL3×GX48 1975 0.66 55% 715 19.22 26.67 49.50 47.59 0.86 CL3×GS83-4 1975 0.69 39% 532 18.49 30.00 41.45 47.59 0.58 CL4×CL3 3542 0.49 47% 816 25.29 34.49 49.01 42.71 1.49 CL4×CL40 3542 0.33 42% 489 21.41 33.93 52.36 40.75 0.76 CL4×CL53 3542 0.17 51% 305 27.23 29.88 51.77 46.16 0.59 CL4×GX48 3542 0.38 27% 361 14.4 19.84 49.83 50.57 0.26 CL4×GS83-4 3542 0.50 50% 881 21.93 25.12 35.55 50.57 0.87 CL40×CL3 1093 0.62 52% 351 21.43 28.23 60.85 45.17 0.58 CL40×CL4 1093 0.93 49% 496 21.28 29.01 62.01 46.03 0.87 CL40×CL53 1093 0.40 75% 330 23.39 25.98 61.55 46.16 0.57 CL40×GX48 1093 0.52 41% 233 17.74 21.02 60.00 47.09 0.25 CL40×GS83-4 1093 0.90 31% 306 17.17 21.94 65.42 47.09 0.35 CL53×CL3 591 1.00 65% 384 29.32 29.64 60.34 42.61 0.86 CL53×CL4 591 1.00 49% 289 39.92 27.70 61.96 44.22 0.88 CL53×CL40 591 0.79 55% 258 27.48 27.93 60.95 44.41 0.54 CL53×GX48 591 1.00 23% 136 24.54 19.96 46.70 39.72 0.12 CL53×GS83-4 591 0.88 27% 141 27.42 26.97 57.40 39.72 0.24 GX48×CL3 1296 0.98 69% 880 26.61 23.91 63.73 51.46 1.84 GX48×CL4 1296 1.00 70% 906 18.24 29.30 54.75 51.46 1.36 GX48×CL40 1296 0.54 76% 535 13.97 16.53 61.87 51.46 0.39 GX48×CL53 1296 0.45 61% 352 15.31 17.39 49.13 51.46 0.24 GX48×GS83-4 1296 0.81 72% 752 15.08 20.26 70.17 51.46 0.83 GS83-4×CL3 1906 0.67 60% 763 29.06 26.20 45.14 48.09 1.26 GS83-4×CL4 1906 0.93 62% 1095 27.42 22.51 51.65 48.09 1.68 GS83-4×CL40 1906 0.59 78% 881 24.41 28.78 63.92 48.09 1.90 GS83-4×CL53 1906 0.27 68% 356 17.86 19.06 47.80 48.09 0.28 GS83-4×GX48 1906 0.54 56% 574 23.22 18.78 46.41 48.09 0.56

[0093] Example 3: Estimation of Camellia oleifera forest yield

[0094] 3.1 Estimation of Camellia oleifera forest yield

[0095] The camellia oleifera forest covers an area of ​​120 mu (approximately 8 hectares) with a density of 55 trees / mu (approximately 3.3 hectares). Six varieties (n=6) – CL3, CL4, CL40, CL53, GX48, and GS83-4 – are planted in equal proportions, with each variety having 1100 trees (∑X=6600, X1-X6 are all 1100). The yield per tree (Y) is calculated based on the pollination combinations in Table 5. nn By applying the formula for calculating the yield of camellia oleifera forest, the total yield of camellia oil in the forest can be calculated to be 5049 kg, with an average yield of 42.08 kg / mu.

[0096] The formula for estimating the total yield of camellia oleifera forests is as follows:

[0097]

[0098] in,

[0099] —The first in the camellia oleifera forest Number of plants per variety;

[0100] —The sum of the number of plants for all varieties;

[0101] —Based on variety For parent plants and varieties The yield per plant is estimated using the formula for estimating yield per plant in pollination combinations with the male parent.

[0102] —Total number of varieties in the camellia oleifera forest;

[0103] 3.2 Estimation of Camellia oleifera forest yield (II)

[0104] The camellia oleifera forest covers an area of ​​120 mu (approximately 8 hectares) with a density of 55 trees / mu (approximately 3.3 hectares). It contains six varieties (n=6): CL3, CL4, CL40, CL53, GX48, and GS83-4. CL3, CL4, GX48, and GS83-4 each have 1500 trees, while CL40 and CL53 each have 300 trees. The yield per tree (Y) is calculated based on the pollination combinations in Table 5. nn By applying the formula for calculating the yield of camellia oleifera forest, the total yield of camellia oil in the forest can be calculated to be 6284.93 kg, with an average yield of 52.37 kg / mu.

[0105] Based on the results in 3.1 and 3.2, it can be found that there are significant differences in the yield of camellia oleifera forests under different variety configuration patterns.

[0106] By using a dual-core quantitative model of "flowering period overlap coefficient + pollination combination yield", the system solves three major pain points of traditional configuration schemes: ambiguous flowering period matching, lack of combination effect, and distorted total yield estimation. This improves the yield prediction accuracy of camellia oleifera forests from 70% to over 92%, and allows for variety ratio optimization at the design stage. It significantly reduces the risks and costs of transforming low-yield forests and provides standardized and replicable technical support for improving the quality and efficiency of the camellia oleifera industry.

[0107] It should be noted that, in this document, the terms "comprising," "including," and any other variations are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Specific examples have been used in this document to illustrate the principles and implementation methods of the present invention. These examples are merely for the purpose of helping to understand the method and core ideas of the present invention. The above descriptions are only preferred embodiments of the present invention. It should be pointed out that, due to the limitations of written expression and the objective existence of infinite specific structures, those skilled in the art can make several improvements, modifications, or variations without departing from the principles of the present invention, and can also combine the above technical features in an appropriate manner. These improvements, modifications, variations, or combinations, or the direct application of the concept and technical solution of the present invention to other situations without modification, should all be considered within the scope of protection of the present invention.

Claims

1. A method for estimating the yield of different Camellia oleifera varieties after configuration, characterized in that, Includes the following steps: (1) During the flowering period of Camellia oleifera, the number of flowers per plant of each variety was investigated by the standard branch method, and the flowering stage and duration were recorded. The flowering stage included the initial flowering stage, the early flowering stage, the peak flowering stage and the end flowering stage. (2) Based on the flowering stage, duration and average daily flowering amount of each variety, calculate the flowering overlap coefficient between different varieties. The flowering overlap coefficient reflects the pollination probability of the male parent and the female parent during the flowering period. (3) Select the white but unopened flowers of the female parent for artificial pollination, and use the pollen-shedding flowers of the male parent for pollination. After pollination, seal the pistil and mark it, and count the final fruit set rate of each pollination combination. (4) Collect fruits during the fruit ripening period and measure fruit trait indicators such as single fruit weight, fresh fruit dry seed yield, and dry seed oil content. (5) Estimate the yield per plant under a certain pollination combination based on flowering amount, flowering period overlap coefficient, fruit set rate, single fruit weight, fresh fruit dry seed yield and dry seed oil content; The formula for calculating the flowering period overlap coefficient is as follows: ; The formula for estimating the yield per plant is: number of flowers (number of flowers) × flowering period overlap coefficient (%) × fruit set rate (%) × single fruit weight (kg / fruit) × fresh fruit yield of dried seeds (%) × oil content of dried seeds (%). (6) Estimate the total yield of the camellia oleifera forest based on the configuration ratio of each variety in the camellia oleifera forest and the yield per plant of the corresponding pollination combination; The formula for estimating the total yield of the camellia oleifera forest is as follows: ; in, —The first in the camellia oleifera forest Number of plants per variety; —The sum of the number of plants for all varieties; —Based on variety For parent plants and varieties The yield per plant was estimated using the formula for estimating yield per plant in pollination combinations with the male parent. —Total number of varieties in the camellia oleifera forest; The formula first calculates the weighted average expected yield per tree for each variety under the "crossbreeding / whole forest" condition, then weights it according to the number of trees of each variety, and finally obtains the total yield of the camellia oleifera forest.

2. The method according to claim 1, characterized in that, The standard branch method is as follows: Select 4-year-old branches with a diameter of 8-12mm, and select 5 standard branches in each of the four directions of east, south, west and north. Investigate the number of flower buds on each branch, calculate the total number of flowers per plant, and repeat 5 times.

3. The method according to claim 1, characterized in that, The artificial pollination method includes: selecting the white but unopened flowers of the female parent, cutting off the flower buds to remove the stamens, retaining the pistil and style, lightly dipping the stigma with the anthers of the male parent, sealing the top of the style with medical tape after pollination and attaching a tag, and repeating each pollination combination no less than 100 times.

4. The method according to claim 1, characterized in that, Before determining the yield of dried seeds from fresh fruit, the seeds were placed in an oven and dried continuously until constant weight. The constant weight standard was set at a difference of ≤0.001g between two weighings. Then the ratio of dried seed weight to fresh fruit weight was calculated.

5. The method according to claim 1, characterized in that, Fruit maturity is marked by the natural cracking of 5% of the fruit shells on the whole plant, and harvesting is completed within 3 days before or after the first frost.

6. The method according to claim 1, characterized in that, After obtaining the total yield of camellia oleifera forests corresponding to different configuration ratios, the scheme with the highest yield is selected as the optimal variety configuration ratio by comparing the total yield or yield per mu of each configuration scheme.

7. The method according to any one of claims 1 to 6, characterized in that, The method described above is used to optimize the configuration ratio of different varieties in camellia oleifera forests in order to improve the overall yield of camellia oleifera forests.

Images