Sugarcane is the major sugar-producing crop worldwide, and hybrid F₁ populations are the primary populations used in breeding. Challenged by the sugarcane genome’s complexity and the sucrose yield’s quantitative nature, phenotypic selection is still the most commonly used approach for high-sucrose yield sugarcane breeding. In this study, a hybrid F₁ population containing 135 hybrids was constructed and evaluated for 11 traits (sucrose yield (SY) and its related traits) in a randomized complete-block design during two consecutive growing seasons. The results revealed that all the traits exhibited distinct variation, with the coefficient of variation (CV) ranging from 0.09 to 0.35, the Shannon-Wiener diversity index (H′) ranging between 2.64 and 2.98, and the broad-sense heritability ranging from 0.75 to 0.84. Correlation analysis revealed complex correlations between the traits, with 30 trait pairs being significantly correlated. Eight traits, including stalk number (SN), stalk diameter (SD), internode length (IL), stalk height (SH), stalk weight (SW), Brix (B), sucrose content (SC), and yield (Y), were significantly positively correlated with sucrose yield (SY). Cluster analysis based on the 11 traits divided the 135 F₁ hybrids into three groups, with 55 hybrids in Group I, 69 hybrids in Group II, and 11 hybrids in Group III. The principal component analysis indicated that the values of the first four major components’ vectors were greater than 1 and the cumulative contribution rate reached 80.93%. Based on the main component values of all samples, 24 F₁ genotypes had greater values than the high-yielding parent ‘ROC22’ and were selected for the next breeding stage. A rapid sucrose yield estimation equation was established using four easily measured sucrose yield-related traits through multivariable linear stepwise regression. The model was subsequently confirmed using 26 sugarcane cultivars and 24 F₁ hybrids. This study concludes that the sugarcane F₁ population holds great genetic diversity in sucrose yield-related traits. The sucrose yield estimation model, $y_{SY}=2.01x_{SN}+8.32x_{SD}+0.79x_B+3.44x_{SH}-47.64$, can aid to breed sugarcane varieties with high sucrose yield.

Selections of drought-tolerant cultivars and drought-stress diagnosis are important for sugarcane production under seasonal drought, which becomes a crucial factor causing sugarcane yield reduction. The main objective of this study was to investigate the differential drought-response strategies of drought-resistant (‘ROC22’) and -susceptible (‘ROC16’) sugarcane cultivars via photosynthetic quantum efficiency (Φ) simulation and analyze photosystem energy distribution. Five experiments were conducted to measure chlorophyll fluorescence parameters under different photothermal and natural drought conditions. The response model of Φ to photosynthetically active radiation (PAR), temperature (T), and the relative water content of the substrate (rSWC) was established for both cultivars. The results showed that the decreasing rate of Φ was higher at lower temperatures than at higher temperatures, with increasing PAR under well-watered conditions. The drought-stress indexes (ε_D) of both cultivars increased after rSWC decreased to the critical values of 40% and 29% for ‘ROC22’ and ‘ROC16’, respectively, indicating that the photosystem of ‘ROC22’ reacted more quickly than that of ‘ROC16’ to water deficit. An earlier response and higher capability of nonphotochemical quenching (NPQ) accompanied the slower and slighter increments of the yield for other energy losses (Φ_NO) for ‘ROC22’ (at day5, with a rSWC of 40%) compared with ‘ROC16’ (at day3, with a rSWC of 56%), indicating that a rapid decrease in water consumption and an increase in energy dissipation involved in delaying the photosystem injury could contribute to drought tolerance for sugarcane. In addition, the rSWC of ‘ROC16’ was lower than that of ‘ROC22’ throughout the drought treatment, suggesting that high water consumption might be adverse to drought tolerance of sugarcane. This model could be applied for drought-tolerance assessment or drought-stress diagnosis for sugarcane cultivars.

The production and breeding of peanuts was restricted by the frequently extreme climatic conditions in Guangdong province, China. To understand the influence of drought and pluvial climates on peanut traits and yield, a phenotypic investigation of seventy peanut cultivars was conducted from 2018 to 2022; comprehensive field meteorological data collection, and typical drought (2021) and pluvial (2022) climates were recorded. The results revealed that the cultivars achieved the highest single plant pod weight (SPPW) and single plant seed weight (SPSW) of 61.03 g and 45.84 g, respectively, in drought conditions, followed by the control, and finally the pluvial. The SPPW, SPSW and eight agronomy traits exhibited significant differences across the different climatic conditions. Correlation analysis revealed the yield traits and key yield-related traits were positively or negatively correlated with soil water content (SWC), total global radiation (TGR), total precipitation (TP) and total net radiation (TNR). The intermediate and Spanish type cultivars were more stable and productive than the other botanical types of cultivars, commercial varieties exhibited better performance than landraces, and seven cultivars were identified with good production potential, under drought and pluvial conditions. Our study showed that pluvial climate was detrimental to peanut yield, and the SPPW and SPSW were significantly influenced by climates with genotype differences.

Cultivated peanut ( Arachis hypogaea L.) is an important legume crop with a large genome size but a limited genetic diversity. Evaluating the genetic variation among diverse peanut germplasms using genome-wide molecular markers is an effective strategy to explore its genetic diversity and thereby facilitate peanut improvement. In this study, we introduced a novel whole-genome genotyping (WGG) technique named dRAPD-seq (degenerate Random Amplification Polymorphic DNA and sequencing), which relies on semi-specific PCR amplification by arbitrarily degenerate (AD) primer and next-generation sequencing (NGS), and demonstrated its robust reproducibility and high accuracy. Subsequently, we applied dRAPD-seq to investigate the genetic relatedness within a population of 101 diverse peanut accessions and identified a low genetic diversity among these accessions. Our phylogenetic tree, population structure analyses, and principal component analysis (PCA) indicated that this population could be clustered into three subpopulations, largely corresponding to three botanical types. In conclusion, this research not only introduced a cost-effective and easy-to-conduct WGG method but also provided valuable insights for utilizing these peanut accessions in future breeding programs.

BackgroundSugar transporter (STP) gene family, belonging to the major facilitator superfamily, plays significant roles in monosaccharide distribution and many aspects of physiological processes. However, little information was available about the STP genes in cultivated peanut (Arachis hypogaea), an important edible and oil crop. The recent release of the whole-genome sequence of cultivated peanut allowed us to perform a genome-wide investigation into the phylogeny and expression profiling of peanut STP genes.ResultsA total of thirty-six STP genes containing the Sugar_tr conserved motifs were identified from the A. hypogaea genome and all the genes were renamed on the basis of their respective chromosome distribution. According to their phylogenetic features, the STPs were classified into four groups. The structure of the STP genes and their encoded proteins were examined. Synteny analysis and phylogenetic comparison of the STP genes provided deep insight into the evolutionary characteristics of peanut STP genes. The segmental duplication events played a major role in the expansion of the peanut STP gene family and homeologous chromosomes rearrangement may lead to the exchange of STP genes between the A and B sub-genome. Expression profiles derived from transcriptome data exhibited distinct expression patterns of AhSTP genes in various tissues. Among them, four AhSTP genes, AhSTP3, AhSTP9, AhSTP19, AhSTP28, exhibited high expression in early stage of pod formulate in subsp. hypogaea, and in developing phase of seed in subsp. fastigiate, suggesting these genes may be involved in the development of pod and seed. Gene variation analysis of the four genes utilizing the subspecies genome sequences indicated multiple variations occurred in gene sequence or promoter region, and provided valuable clues for the different expression profiles of the four genes during seed development in subsp. hypogaea and subsp. fastigiate.ConclusionThirty-six STP genes were identified in cultivated peanut and their protein character,structure,evolution characteristics, expression patterns and gene variation were analyzed.This study provided a foundation for further functional characterization of STP genes with an aim of cultivated peanut crop improvement.