Rubber Tree Growth Research Articles

HbBIN2 Functions in Plant Cold Stress Resistance through Modulation of HbICE1 Transcriptional Activity and ROS Homeostasis in Hevea brasiliensis.

Cold stress poses significant limitations on the growth, latex yield, and ecological distribution of rubber trees (Hevea brasiliensis). The GSK3-like kinase plays a significant role in helping plants adapt to different biotic and abiotic stresses. However, the functions of GSK3-like kinase BR-INSENSITIVE 2 (BIN2) in Hevea brasiliensis remain elusive. Here, we identified HbBIN2s of Hevea brasiliensis and deciphered their roles in cold stress resistance. The transcript levels of HbBIN2s are upregulated by cold stress. In addition, HbBIN2s are present in both the nucleus and cytoplasm and have the ability to interact with the INDUCER OF CBF EXPRESSION1(HbICE1) transcription factor, a central component in cold signaling. HbBIN2 overexpression in Arabidopsis displays decreased tolerance to chilling stress with a lower survival rate and proline content but a higher level of electrolyte leakage (EL) and malondialdehyde (MDA) than wild type under cold stress. Meanwhile, HbBIN2 transgenic Arabidopsis treated with cold stress exhibits a significant increase in the accumulation of reactive oxygen species (ROS) and a decrease in the activity of antioxidant enzymes. Further investigation reveals that HbBIN2 inhibits the transcriptional activity of HbICE1, thereby attenuating the expression of C-REPEAT BINDING FACTOR (HbCBF1). Consistent with this, overexpression of HbBIN2 represses the expression of CBF pathway cold-regulated genes under cold stress. In conclusion, our findings indicate that HbBIN2 functions as a suppressor of cold stress resistance by modulating HbICE1 transcriptional activity and ROS homeostasis.

Recognition of Rubber Tree Powdery Mildew Based on UAV Remote Sensing with Different Spatial Resolutions

Rubber tree is one of the essential tropical economic crops, and rubber tree powdery mildew (PM) is the most damaging disease to the growth of rubber trees. Accurate and timely detection of PM is the key to preventing the large-scale spread of PM. Recently, unmanned aerial vehicle (UAV) remote sensing technology has been widely used in the field of agroforestry. The objective of this study was to establish a method for identifying rubber trees infected or uninfected by PM using UAV-based multispectral images. We resampled the original multispectral image with 3.4 cm spatial resolution to multispectral images with different spatial resolutions (7 cm, 14 cm, and 30 cm) using the nearest neighbor method, extracted 22 vegetation index features and 40 texture features to construct the initial feature space, and then used the SPA, ReliefF, and Boruta–SHAP algorithms to optimize the feature space. Finally, a rubber tree PM monitoring model was constructed based on the optimized features as input combined with KNN, RF, and SVM algorithms. The results show that the simulation of images with different spatial resolutions indicates that, with resolutions higher than 7 cm, a promising classification result (>90%) is achieved in all feature sets and three optimized feature subsets, in which the 3.4 cm resolution is the highest and better than 7 cm, 14 cm, and 30 cm. Meanwhile, the best classification accuracy was achieved by combining the Boruta–SHAP optimized feature subset and SVM model, which were 98.16%, 96.32%, 95.71%, and 88.34% at 3.4 cm, 7 cm, 14 cm, and 30 cm resolutions, respectively. Compared with SPA–SVM and ReliefF–SVM, the classification accuracy was improved by 6.14%, 5.52%, 12.89%, and 9.2% and 1.84%, 0.61%, 1.23%, and 6.13%, respectively. This study’s results will guide rubber tree plantation management and PM monitoring.

Short-Term Effects of Bokashi Fertilizer with Reduced NPK Fertilization on Soil Fertility, Growth, and Yield of Rubber Trees

Rubber is currently the second major industrial crop in Malaysia after oil palm. The use of bokashi fertilizer (BF) on industrial crops is still not popular, and farmers rely mostly on chemical fertilizers (CFs) that are costly and hazardous to the environment. This research was conducted at Hevea plantation, Universiti Putra Malaysia, between August 2020–October 2021. The study was to assess the short-term effects of BF with reduced NPK fertilization on soil fertility, growth, and yield of rubber. Seven treatments (T) were involved. T1, T2, and T3 denote 4, 8, and 12 kg BF per pit. T4 was 1 kg NPK as control, whereas T5, T6, and T7 denote 4, 8, and 12 kg BF + 500 g NPK per pit, respectively. The variables observed included total nitrogen (TN%), total phosphorus (TP%), organic carbon (OC%), organic matter (OM%), exchangeable cations, microbial counts, tree girth, and dry rubber yield. The major findings indicated that applying 12 kg BF has raised the soil’s TN%, OC%, and OM% by 165, 171.4, and 172.0%, respectively, compared to NPK control. Also, adding 4 kg BF + 500 g NPK has increased the soil’s cation exchange capacity and TP% values by 107.8 and 42.9%, respectively, compared to the control. Adding sole bokashi increased the bacterial population by 22.2–133.3%. Rubber yield was better on trees treated with 12 kg BF, though this did not differ significantly from other treatments. Therefore, applying 12 kg BF or 4 kg BF + 500 g NPK can improve soil fertility and save costs from using inorganic fertilizer by at least 50%.

Cover legumes promote the growth of young rubber trees by increasing organic carbon and organic nitrogen content in the soil

Cover crops are often intercropped in rubber plantations to improve utilization of understory space; however, how cover crops promote the growth rate (GR) of young rubber trees remains unclear, as these are largely dependent on the growth time and varieties of cover crops. We conducted a five-year experiment with five cover crop treatments of no cover crop (CK) and cover with four varieties of perennial leguminous crops, namely, Stylosanthes guianensis Reyan No. 2 (RY2), Reyan No. 5 (RY5), Reyan No. 7 (RY7), and Reyan No.10 (RY10). We analyzed changes in total organic carbon (TOC), total nitrogen (TN), and the fractions of labile organic carbon (LOC), mineral nitrogen (MN), and organic nitrogen (ON) in understory soil of young rubber plants (Hevea Brisiliensis cv. Reyan 7–33–97) in tropical China and their effects on the GR. The results showed that cover year and cover crop varieties significantly affected soil TOC, LOC fractions, TN, MN, and ON fractions, as well as GR. Compared to CK, the five-year average GRs of rubber trees covering the RY2, RY5, RY7, and RY10 increased by 12.8%, 41.5% 30.0%, and 43.1%, respectively. Compared with CK, the five-year average nutrients of RY5 and RY10 all increased after covering, whereas the soil NH4+-N of RY2 decreased by 0.3%. Meanwhile, the soil TOC, TN, acid-hydrolyzable ammonium nitrogen (AN), and amino acid nitrogen of RY7 decreased by 10.1%, 13.4%, 6.7%, and 21.3%, respectively. The soil nutrients all show a good linear relationship with GR. We identified TN and MN as the main nutrients for the growth of young rubber plants through linear regression and stepwise regression. In addition, structural equation modeling indicated that TOC was the carrier of nitrogen transformation and utilization in soil. The total effects of TOC, AN, and NH4+-N on GR of rubber trees were 0.55, 0.52, and 0.31, respectively. The results demonstrated that RY5 and RY10 are suitable for young rubber plantation in tropical China as these effectively improved soil nitrogen supply potential, improved soil fertility, and promoted the GR of young rubber trees.

Relationships between the Water Uptake and Nutrient Status of Rubber Trees in a Monoculture Rubber Plantation

Rubber cultivation is primarily rainfed agriculture, which means that water supplies are not stable in most rubber cultivated areas. Therefore, improving the water use of rubber trees through fertilization management seems to be a breakthrough for enhancing the growth and latex yield of rubber trees and carrying out the intensive management of rubber agriculture. However, the relationships among the nutrient status of rubber trees, their water uptake, and soil resources, including water and nutrients, remain unclear. To address this issue, we measured C, N, P, K, Ca, and Mg concentrations in soil and leaves, stems, and roots in a monoculture rubber plantation and distinguished the water uptake depths based on stable isotope analysis throughout the year. We found that the rubber trees primarily absorbed water from the 5–50 cm depth layer, and soil water and nutrients (usually N, P, K) decreased with depth. In addition, the water uptake depth of rubber trees exhibited positive correlations with the nutrient status of their tissues. The more water the rubber trees absorb from the intermediate soil layer, the more nutrients they contain. Therefore, applying fertilizer to intermediate soil layers, especially those rich in C content, could greatly promote rubber tree growth.

First Report of Stemphylium lycopersici Causing Leaf Spot on Hevea brasiliensis in China.

Hevea brasiliensis is widely planted in tropical and subtropical regions and is the main source of natural rubber production. The growth of rubber trees is plagued by various leaf diseases, resulting in decreased rubber production. From January to March in 2020, a severe leaf spots disease on Hevea brasiliensis found in Agricultural Science Base in Haidian campus of Hainan University (20° 03' 31″ N, 110° 19' 07″ E), Haikou, Hainan province, China. Spots were only observed on the mature green rather than young and bronze-colored leaves. This symptom has never been reported on the leaves of Hevea brasiliensis. During the early stages of the disease, gray leaf spots were concentrated to the leaf margins, but later expanded forming irregular gray lesions with chlorotic edges (Figure 1A). Eventually, lesions became necrotic shot holed, and leaves curled, wilted, and dropped. Five small pieces were cut from the margin of spots from different infected leaves, and were surface disinfected with 75% alcohol three times for five seconds each time and 1% sodium hypochlorite solution (NaClO) for 60 s. After washing twice with sterile water, leaf pieces were placed in the center of plates with Potato Dextrose Agar (PDA) medium and incubated for one week at 28 °C. After 7 days, mycelium developed and colonies were single-spore cultured for further study. One of the strains labeled HN01 developed a yellowish-brown to reddish-brown pigment on PDA, and the colonies were gray and cottony. The colony and pigment feature very consistent with Stemphylium sp. (Figure 2) (Li et al. 2017). Conidiophore were solitary, transparent to pale, mostly 102.1-228.8 µm × 4.0-5.8 µm, with 2-3 septa and apical vesicular swellings 6.5-7.9 µm. The dimensions of conidia were 28.3-45.1 × 11.5-17.5 µm and one septum (Figure 3). Conidia of S. lycopersici were solitary, oblong with a conical end at the apex, with 1-2 septa, and constricted at the transverse septum. The internal transcribed spacer region of rDNA was amplified with primers ITS1/ITS4 (5'-TCCGTAGGTGAACCTGCGG-3'/5'-TCCTCCGCTTATTGATATGC-3'), glyceraldehyde-3-phosphate dehydrogenase (gpd) was amplified with primers GPD-F/R (5'-GCACCGACCACAAAAATC-3'/ 5'-GGGCCGTCAACGACCTTC-3'), calmodulin region (cmdA) was amplified with the primers CALDF1/CALDR2 (5'-AGCAAGTCTCCGAGTTCAAGG-3'/5'-CTTCTGCATCATCAYCTGGACG3') from genomic DNA of strain HN01 (Xie et al. 2018), and PCR products were sequenced. The ITS sequence of strain HN01 (GenBank Accession No. MZ496930) had 99.64% identity with isolates sl001, sl110, sl111, and sl112 of Stemphylium lycopersici (GenBank Accession No. KX858848.1, MF480547.1, MF480548.1, MF480549.1). Similarly GPD sequences (GenBank Accession No. MZ505106) had 100% identity with strain xiqing, HZ2114 and HZ2115 of Stemphylium lycopersici (GenBank Accession No. KR911809.1, KR911810.1, KT957742.1 and KT957743.1), and CMDA sequences (GenBank Accession No. MZ505105) had 99.85% identity with Stemphylium lycopersici strain LJ1609270201 (GenBank Accession No. MG742412.1). A phylogenetic analysis constructed by MEGA6.0 based on concatenated sequences of the HN01 and another 17 strains from GenBank by using the maximum-likelihood (ML) method showed that the HN01 was clustered and matched with Stemphylium lycopersici LJ1609270201 (Figure 4). To satisfy Koch's postulates, we inoculated mature green leaves of Hevea brasiliensis with mycelial plugs (diameter = 5 mm) of pure cultured strain HN01. All leaves of Hevea brasiliensis were wrapped in a freezer bag to maintain relative humidity >85%, and the temperature of greenhouse is 28ºC. The disease developed on the inoculated leaves after 2-3 days, but not on control leaves (Figure 1B). We used the same method as before to re-isolate the pathogen, which had the same morphology and genotypes as the original isolate. S. lycopersici has been reported to infect the leaves of a variety of plants, including pepper, tomato, eggplant, watermelon, Physalis alkekengi. (Yang et al.2017; Ben et al. 2017; Yang et al. 2020). To our knowledge, this is the first record of S. lycopersici causing leaf spot of Hevea brasiliensis in China, and Hevea brasiliensis is the global new host of S. lycopersici. Hevea brasiliensis is the main source of natural rubber and is widely planted in southern China. Therefore, it is imperative to implement disease management measures to prevent potential threats.

Estimation of Total Nitrogen Content in Rubber Plantation Soil Based on Hyperspectral and Fractional Order Derivative

Soil total nitrogen (TN) is a vital nutrient element that affects the growth and rubber production of rubber trees. Especially in the coastal environment, soil nutrients will show significant differences. Using hyperspectral technology to detect soil nitrogen ion content in the offshore environment can provide technical support for nutrient management. Preprocessing hyperspectral data is a crucial step in accurate spectral model estimation. At the same time, it is considered that the traditional first-order and second-order derivatives are easily unbalanced between the signal-to-noise ratio, resulting in the loss of adequate information. Therefore, this work focuses on the feasibility of fractional order derivative (FOD) combined with partial least squares regression (PLSR) to estimate its TN content. By collecting soil samples from rubber plantations, the TN content of the soil samples was determined, and the spectral reflectance was measured. The FOD of the original spectrum was preprocessed with an interval of 0.2, and 11 spectral curves were obtained. Then, successive projections algorithm (SPA) was used to extract spectral features, and partial least squares regression (PLSR) models of soil TN content were established. The research results show that compared with the traditional integer derivative, FOD has a tremendous advantage in balancing spectral information and noise and can provide more abundant characteristic variables, which helps establish a more robust estimation model. In the range of orders 0–2, the model established by the 1.8-order is the best. Under that circumstance, the determination coefficients of validation (R2v) is 0.649, and the ratio of the performance to deviation (RPD) is 1.72. Combined with FOD, it is feasible and practical to establish an accurate and rapid estimation model of soil TN content, which can provide an important reference for large-scale detection of soil TN content in rubber plantations.

Identification of HbHSP90 gene family and characterization HbHSP90.1 as a candidate gene for stress response in rubber tree

Heat shock protein 90 (HSP90), an essential molecular chaperone, is triggered in response to stress situations in plants. However, the roles of HSP90 gene family members in rubber tree have not been totally specified. In this study, 7 HbHSP90 genes were identified from rubber tree genome. Classification of HbHSP90 family genes into three groups, namely A, B, and C was based on phylogenetic analysis. The structural and motif analyses showed similar structural features in the same group of HbHSP90 members, but differences between groups. Analysis of cis-regulatory element sequences of HbHSP90 genes indicates that the HbHSP90 gene promoter is rich in drought, temperature, and hormone elements. qRT-PCR analysis showed that the 7 HbHSP90 genes responded in different degrees to temperature, drought and powdery mildew infection, and in particularly, HbHSP90.1 was differentially expressed under both abiotic and biotic stresses. Meanwhile, HbHSP90.1 gene was significantly expressed under the treatment of different phytohormone and H2O2 (Hydrogen Peroxide) treatments, which means that HbHSP90.1 gene performs an essential part in the growth and development of rubber trees. Furthermore, the protein interaction results showed that HbHSP90.1 interacted with HbSGT1b. Subcellular localization showed that both HbHSP90.1 and HbSGT1b located in the nucleus. Taken together, we speculate that HbHSP90.1 interacts with HbSGT1b in the nucleus to respond to rubber tree stress processes. The results of this study provide a solid foundation for further studies on the mechanism of HbHSP90 family genes in the stress resistance response of rubber tree.

Impact of mineral fertilization on the growth of immature rubber trees: new insights from a field trial in Cambodia

Impact of mineral fertilization on the growth of immature rubber trees: new insights from a field trial in Cambodia

Rubber Leaf Disease Recognition Based on Improved Deep Convolutional Neural Networks With a Cross-Scale Attention Mechanism.

Natural rubber is an essential raw material for industrial products and plays an important role in social development. A variety of diseases can affect the growth of rubber trees, reducing the production and quality of natural rubber. Therefore, it is of great significance to automatically identify rubber leaf disease. However, in practice, different diseases have complex morphological characteristics of spots and symptoms at different stages and scales, and there are subtle interclass differences and large intraclass variation between the symptoms of diseases. To tackle these challenges, a group multi-scale attention network (GMA-Net) was proposed for rubber leaf disease image recognition. The key idea of our method is to develop a group multi-scale dilated convolution (GMDC) module for multi-scale feature extraction as well as a cross-scale attention feature fusion (CAFF) module for multi-scale attention feature fusion. Specifically, the model uses a group convolution structure to reduce model parameters and provide multiple branches and then embeds multiple dilated convolutions to improve the model’s adaptability to the scale variability of disease spots. Furthermore, the CAFF module is further designed to drive the network to learn the attentional features of multi-scale diseases and strengthen the disease features fusion at different scales. In this article, a dataset of rubber leaf diseases was constructed, including 2,788 images of four rubber leaf diseases and healthy leaves. Experimental results show that the accuracy of the model is 98.06%, which was better than other state-of-the-art approaches. Moreover, the model parameters of GMA-Net are only 0.65 M, and the model size is only 5.62 MB. Compared with MobileNetV1, V2, and ShuffleNetV1, V2 lightweight models, the model parameters and size are reduced by more than half, but the recognition accuracy is also improved by 3.86–6.1%. In addition, to verify the robustness of this model, we have also verified it on the PlantVillage public dataset. The experimental results show that the recognition accuracy of our proposed model is 99.43% on the PlantVillage dataset, which is also better than other state-of-the-art approaches. The effectiveness of the proposed method is verified, and it can be used for plant disease recognition.

Unravelling Rubber Tree Growth by Integrating GWAS and Biological Network-Based Approaches.

Hevea brasiliensis (rubber tree) is a large tree species of the Euphorbiaceae family with inestimable economic importance. Rubber tree breeding programs currently aim to improve growth and production, and the use of early genotype selection technologies can accelerate such processes, mainly with the incorporation of genomic tools, such as marker-assisted selection (MAS). However, few quantitative trait loci (QTLs) have been used successfully in MAS for complex characteristics. Recent research shows the efficiency of genome-wide association studies (GWAS) for locating QTL regions in different populations. In this way, the integration of GWAS, RNA-sequencing (RNA-Seq) methodologies, coexpression networks and enzyme networks can provide a better understanding of the molecular relationships involved in the definition of the phenotypes of interest, supplying research support for the development of appropriate genomic based strategies for breeding. In this context, this work presents the potential of using combined multiomics to decipher the mechanisms of genotype and phenotype associations involved in the growth of rubber trees. Using GWAS from a genotyping-by-sequencing (GBS) Hevea population, we were able to identify molecular markers in QTL regions with a main effect on rubber tree plant growth under constant water stress. The underlying genes were evaluated and incorporated into a gene coexpression network modelled with an assembled RNA-Seq-based transcriptome of the species, where novel gene relationships were estimated and evaluated through in silico methodologies, including an estimated enzymatic network. From all these analyses, we were able to estimate not only the main genes involved in defining the phenotype but also the interactions between a core of genes related to rubber tree growth at the transcriptional and translational levels. This work was the first to integrate multiomics analysis into the in-depth investigation of rubber tree plant growth, producing useful data for future genetic studies in the species and enhancing the efficiency of the species improvement programs.

Plantain-Tree Rubber Intercropping Systems Improved Productivity in the Tropical Humid Zone of Ghana, West Africa

A three-year field trial was conducted between 2014 and 2017 in the Ellembelle and Jomoro districts of the Western region of Ghana where rubber production is common to determine the optimum population density of plantain when grown in combination with immature rubber tree crops. The trials were arranged in a Randomized Complete Block Design with 3 replications. The treatments were sole rubber, sole plantain, and three intercrops of one row of plantain in between two rows of rubber, two rows of plantain in between two rows of rubber, and three rows of plantain in between two rows of rubber. The rubber clone used was GT1 while the variety of plantain used was false horn. The results showed that population density of plantain had significant effect on the growth of the associated rubber. Growing plantain at closer spacing of 1.5 m under the high-density plantain treatment significantly increased plantain yield compared to the other cropping systems. There was a significant positive relationship between population density of plantain and the rubber tree growth and development. The optimum population density of plantain when intercropped with rubber was 1,666/ha. The study showed intercropping was advantageous over sole cropping for both crops.

Hail event rather than cold stress, has profound effects on the carbon-water coupling process of Hevea brasiliensis in Xishuangbanna

The annual pattern of the carbon-water coupling of rubber trees (Hevea brasiliensis) has never been explored on the plant and ecosystem scales, and the responses of the carbon-water coupling to cold stress and hail events remain unknown. We continuously measured the sap flow density (Js), diameter at breast height (DBH), and the carbon and water flux of rubber plantations in Southwest China from 2012 to 2016, to compare the water-use efficiency (WUE) of rubber plantations by considering different scales (plant and ecosystem) and methods (eddy covariance and isotope techniques) and to reveal the adaptation strategy of rubber trees to cold stress and hail events from the perspective of WUE. We found the followings: (1) high correlation in the annual WUE pattern were noted on the plant and ecosystem scales (r=0.74, P<0.05), with higher WUE values obtained during the rainy seasons than during the dry seasons; (2) The rubber trees responded to cold stress with the reduction of the strength of the carbon-water coupling, which was characterized by a lower ratio of growth rate of DBH (Rdbh) to Js during the cold stress period (slope=0.007, P>0.05) compared with after the cold stress (slope=0.03, P<0.05); and (3) The hail event severely disrupted the WUE pattern of rubber trees, which was characterized by a weak relationship between Rdbh and Js after experiencing the hail event (slope=0.01, r=0.35, P>0.05) than without experiencing the hail event (slope=0.07, r=0.63, P<0.05). We concluded that the response of rubber trees to the frequent cold stress might involve the long-term adaptation by short-term decoupling of WUE; however, the effects of the occasional hail event on the growth of rubber trees were more profound.

Response of Rubber Tree Saplings to Dolomite and Kieserite Application and K:Mg Ratio

This study aimed to examine the effect of the application of dolomite and kieserite on the growth and nutrient uptake of rubber tree saplings and the relationship between K:Mg ratios in soils and nutrient uptake. The experiment followed a completely randomized design with five replicates. Budded stumps of RRIM 600 rubber were planted in soil with low extractable Mg (&lt; 0.30 cmolc kg-1). Kieserite application at a rate of 0.5 cmolc Mg kg-1 significantly promoted the greatest sapling height, stem diameter, Mg and S concentrations, and leaf chlorophyll levels. High kieserite application rates (1.0 cmolc Mg kg-1) were more likely to decrease K and N uptake significantly. Applying dolomite (0.5 cmolc Mg kg-1) also significantly increased rubber growth compared with the control treatment but the significant increases were lower than those for kieserite application. Applying K at 72, 108, and 180 mg kg-1 significantly increased leaf K concentration, but significantly decreased Mg concentrations. Therefore, rubber plantations should apply Mg at a rate of 0.5 cmolc Mg kg-1 in the form of kieserite, and a ratio of K:Mg 2:1 is suitable for promoting rubber tree growth.

Can intercropping with native trees enhance structural stability in young rubber (Hevea brasiliensis) agroforestry system?

Rubber (Hevea brasiliensis Müll. Arg.) trees have been commercialized for several decades in Asia, notably in China and form a typical plantation ecosystem in tropical areas. Although rubber trees have been planted successfully as commercial crops in many places, adapting rubber plantations to sub-optimal environments remains a challenge. Especially in young rubber plantations, populations are often not stable or sustainable because tree breakage and death are common due to frequent strong storms. Intercropping to optimize group structure has been proposed as a method to improve the overall stability of rubber plantations. The objective of our study is to explore the wind resistance and growth of individual rubber trees in an intercropped system that utilizes native tree species Michelia macclurei and Mytilaria laosensis. The density of rubber trees was the same in the monoculture and the intercrop, with additional native trees added in the intercrop. The effects of the wind resistance and growth of the system to three different planting patterns namely, the monoculture of Hevea brasiliensis, Hevea brasiliensis intercropping with Michelia macclurei, and Hevea brasiliensis intercropping with Mytilaria laosensis were analyzed using observation data from the field plots. The results show that both the maximum and average wind speeds were lower in intercropped rubber plantations than in monoculture rubber plantations, the average maximum wind speeds were lower in Hevea-Michelia and Hevea-Mytilaria intercropping systems than in the Hevea monocrop system by 8.4% and 19.6%, respectively. The average wind speeds were also lower in Hevea-Michelia and Hevea-Mytilaria intercropping systems than in the Hevea monocrop system, with daily average wind speeds 21.2% and 36.0% lower, respectively. The proportion of rubber trees showing Grade 6 wind damage in monoculture, intercropping with Michelia and intercropping with Mytilaria were 9.5%, 2.3% and 1.9%, respectively. There was a competition between the intercropping Michelia / macclurei and Hevea in soil nutrient absorption and utilization, and the competition of soil nutrient further decreased the height growth and formed small crown area opposing wind loading. This indicates that the pattern of intercropping rubber with native tree species may reduce wind speed and average wind speed in intercropped rubber systems, thereby reducing the wind damage on rubber trees and improving their health. The biomass of intercropping with Michelia and intercropping with Mytilaria systems is significantly higher than Hevea monocrop system. This result shows that the intercropping patterns of Hevea-Michelia and Hevea-Mytilaria enhance the total productivity. This indicates that intercropping rubber with native trees may construct an environment that buffers wind effects and benefits tree growth to the extent that it could also improve ecosystem stability in rubber plantations. Healthier and stronger rubber trees may lead to a more sustainable and possibly increased yield of rubber from plantations in the future. These results also enrich tropical protection science and provide a valuable reference for the sustainable management of agricultural system or other plantation.

Correlation Between the Growth of Young Rubber Trees and Nutrient Content of Leaves

Correlation Between the Growth of Young Rubber Trees and Nutrient Content of Leaves

Agro-Morpho-Pedological Evaluation of Soils under Hevea in Marginal Zones: The Case of the Departments of Man and Toumodi

Among the ecological conditions of the environment allowing profitable rubber cultivation, rainfall and the physico-chemical characteristics of the soil are the most important. With this in mind, a study on the adaptability of rubber trees to new agro-morphopedological zones was conducted in the departments of Man and Toumodi. The methodology used to achieve this objective is the realization of pedological pits coupled with physico-chemical laboratory analyses. The open soil profiles reveal that the soils belong mainly to the Ferralsols class with distinctive characteristics, except for those of Kimoukro which belong to the Cambisols class. The Toumodi soils, with a sandy-clay texture (15-35% clay), have a high content of coarse sand (over 40%) and good internal drainage in the surface horizons. They are less dense (≤ 1 g/cm3), with a high coarse element load (40%). These soils are chemically rich with a slightly acidic pH. For the Man soils, the sandy-clay texture, with more than 50% clay, from surface to depth, was the most representative fraction. The coarse element load (≥ 50%) and bulk density (≥ 1.5 g/cm3) were more important. These strongly acidic soils are rich in nitrogen and carbon. Exchangeable bases and CEC are important, mainly, in the upper horizons. In addition, the soil profiles observed in these two departments revealed two major pedogenetic processes: reworking and rejuvenation. At the agronomic level, vegetative growth and rubber production of rubber trees were better in Man than in Toumodi. The physico-chemical characteristics of the soils indicate that the departments of Man and Toumodi are favorable for rubber cultivation, although the soils in Man department are more suitable for cultivation.

The use of Landsat-8 and Sentinel-2 imageries in detecting and mapping rubber trees

Information on rubber tree (Hevea brasiliensis) areas and stages of rubber tree growth is needed in making decisions to maximise land use and for efficient farm management. The use of conventional methods in collecting this information requires a long time, high costs, and constraints to access certain areas. Therefore, this study was conducted to evaluate Landsat-8 OLI and Sentinel-2 images in detecting and mapping the rubber tree area. This study presents a pixel-based supervised classification approach to obtain an accurate map of land cover and rubber tree growth stage distribution using resampled 10 m spatial resolution of Sentinel-2 and pansharpened 15 m Landsat-8 OLI. Seven land cover classes (bare soil, water, mature rubber, immature rubber, oil palm, forest, and built-up area) were classified using support vector machine (SVM), artificial neural network (ANN) and spectral angle mapper (SAM). The results showed that the highest classification accuracy was obtained using SVM, 87.22% for Sentinel-2 and 85.74% for Landsat-8. Next, the classification accuracies of ANN were almost similar with 86.17% and 82.39% for Sentinel-2 and Landsat-8, respectively. SAM has produced less than 60% of acceptable accuracy for both datasets. The performance of the aforementioned classifiers was statistically tested using a McNemar test. The test showed that the p-value between SVM and ANN was not significant and thus, ANN and SVM produced similar accuracies and outperformed SAM for both cases. In this study, the best output produced via SVM from Sentinel-2 was selected to produce the thematic map due to the spatial accuracy advantage of Sentinel-2 compared to Landsat-8. The calculated areas of immature and mature rubber from the thematic map were 7.79 km2 and 10.93 km2, respectively, which then used to estimate the number of tappers needed for the management of rubber. It is concluded that the Sentinel-2 Multispectral Instrument (MSI) data can be recommended to be used in rubber cultivation area assessment.

Dynamics of biomass and nutrient accumulation in rubber (Hevea brasiliensis) plantations established on two soil types: Implications for nutrient management over the immature phase

Rubber trees are the main source of natural rubber (NR). The area occupied by rubber plantations rose from 3.9 million ha in 1961 to 12.5 million ha in 2018. Both the expansion of rubber plantations in marginal zones (prone to biotic and abiotic stress), and long-term rubber tree cultivation in traditional areas, raise questions about the sustainability of NR production in a context of climate change. Our study set out to gain insights into the biogeochemical cycles in rubber plantations, for a better matching of fertilizer inputs to the dynamics of nutrient demand throughout rubber tree growth. Nutrient accumulation in tree biomass is a major component of the biological cycle in tree plantations. We studied the dynamics of biomass and nutrient accumulation in two chronosequences covering the whole lifespan of a plantation in Ivory Coast managed on a sandy soil at the SAPH site, and one on a clayey soil at the SOGB site. In total, 56 trees were destructively sampled in 2-, 5-, 20- and roughly 40-year-old stands. While the use of allometric relationships is common for estimating nutrient stocks in planted forests, this study was the first to provide allometric equations predicting nutrient stocks in rubber tree components. Allometric models were applied to the inventory of 4 commercial stands, for each age at each site, to estimate stand biomass and nutrient stocks. The current annual increments of nutrient stocks in tree biomass peaked between 2 and 5 years after planting. They reached 80 kg ha-1 yr-1 for N, 14 kg ha-1 yr-1 for P and 34 kg ha-1 yr-1 for K at SAPH (53, 7, and 39 kg ha-1 yr-1 respectively at SOGB), which highlighted the importance of an appropriate fertilization schedule for young rubber trees. At the clear-cut age (38–40 years), the amounts of nutrients accumulated in tree biomass were 970 kg N ha-1, 188 kg P ha-1, 366 kg K ha-1, 941 kg Ca ha-1 and 255 kg Mg ha-1 on the sandy soil at SAPH (907,118, 629 1499, and 375 kg ha-1 respectively on the clayey soil at SOGB). Contrasting soil properties and management practices at the two sites had a much greater effect on the amounts of P, K, Ca and Mg accumulated in the trees than on N accumulation. Logging practices in rubber plantations can lead to considerable nutrient exports on poor tropical soils. Harvest residues should be distributed uniformly in the plots so that the roots of young trees can quickly gain access to the nutrients released during decomposition.

HbARF2 and HbARF16.3 function as negative regulators for the radial trunk growth of rubber tree

Auxin plays pivotal roles in the regulation of plant growth mainly via the auxin response factors (ARF), pin-formed efflux carriers (PIN) and auxin influx carriers (LAX).To identify potential responses of the expression of these genes to tapping-caused repression of radial growth, the expression of 17 ARF, 4 LAX and 4 PIN genes in tapped and untapped rubber trees (Hevea brasiliensis Muell. Arg.) and among germplasm with differential annual increment of trunk girth from six hybrid combinations was analysed by using quantitative real-time PCR (qPCR). HbARF2 and HbARF16.3 were up-regulated by tapping. The transcript levels were much higher in Reyan8–79 than that in Reken525 whereas radial trunk growth was strongly reduced in Reyan8–79 in comparison with that in Reken525 after tapping. The transcript levels negatively correlated with the annual increment in trunk girth of offsprings. Overexpression of HbARF2 or HbARF16.3 inhibited the growth of transgenic tobacco (Nicotiana tabacum L.) plants. The repressed growth caused by the HbARF2 was involved in the reduced cell sizes of pith, cell size and proliferation of the vascular bundle while the growth inhibition caused by HbARF16.3 attributed to cell proliferation within the pith of transgenic tobacco. The results suggest that HbARF2 and HbARF16.3 function as negative regulators for trunk growth and are related to the tapping-induced inhibition of trunk growth of rubber trees.