Generation Means Analysis of Climbing Ability in Common Bean (Phaseolus vulgaris L.)

Climbing common bean (Phaseolus vulgaris L.) genotypes have among the highest yield potential of all accessions found in the species. Genetic improvement of climbing beans would benefit from an understanding of the inheritance of climbing capacity (made up of plant height [PH] and internode length [IL] traits). The objective of this study was to determine the inheritance of climbing capacity traits in 3 crosses made within and between gene pools (Andean × Andean [BRB32 × MAC47], Mesoamerican × Mesoamerican [Tío Canela × G2333], and Mesoamerican × Andean [G2333 × G19839]) using generation means analysis. For each population, we used 6 generations (P1, P2, F1, F2, BC1P1, and BC1P2) that were evaluated at 2 growth stages (40 and 70 days after planting). Results showed the importance of additive compared with the dominant–additive portion of the genetic model. Broad-sense heritabilities for the traits varied from 62.3% to 85.6% for PH and from 66.5% to 83.7% for IL. The generation means analysis and estimates of heritability suggested that the inheritance of PH and IL in climbing beans is relatively simple

Rapid analyses of dry matter content and carotenoids in fresh cassava roots using a portable visible and near infrared spectrometer (Vis/NIRS)

Portable Vis/NIRS are flexible tools for fast and unbiased analyses of constituents with minimal sample preparation. This study developed calibration models for dry matter content (DMC) and carotenoids in fresh cassava roots using a portable Vis/NIRS system. We examined the effects of eight data pre-treatment combinations on calibration models and assessed calibrations on processed and intact root samples. We compared Vis/NIRS derived-DMC to other phenotyping methods. The results of the study showed that the combination of standard normal variate and de-trend (SNVD) with first derivative calculated on two data points and no smoothing (SNVD+1111) was adequate for a robust model. Calibration performance was higher with processed than the intact root samples for all the traits although intact root models for some traits especially total carotenoid content (TCC) (R2c = 96%, R2cv = 90%, RPD = 3.6 and SECV = 0.63) were sufficient for screening purposes. Using three key quality traits as templates, we developed models with processed fresh root samples. Robust calibrations were established for DMC (R2c = 99%, R2cv = 95%, RPD = 4.5 and SECV = 0.9), TCC (R2c = 99%, R2cv = 91%, RPD = 3.5 and SECV = 2.1) and all Trans β-carotene (ATBC) (R2c = 98%, R2cv = 91%, RPD = 3.5 and SECV = 1.6). Coefficient of determination on independent validation set (R2p) for these traits were also satisfactory for ATBC (91%), TCC (88%) and DMC (80%). Compared to other methods, Vis/NIRS-derived DMC from both intact and processed roots had very high correlation (>0.95) with the ideal oven-drying than from specific gravity method (0.49). There was equally a high correlation (0.94) between the intact and processed Vis/NIRS DMC. Therefore, the portable Vis/NIRS could be employed for the rapid analyses of DMC and quantification of carotenoids in cassava for nutritional and breeding purposes