Selection via Cane Yield and Ratooning Ability of Sugarcane Genotypes in Sandy Soils in Florida

Arbelo, Orlando Coto; Sandhu, Hardev S.; Momotaz, Aliya; Davidson, R. Wayne; Sandoya, Germán V.; Baltazar, Miguel; Barreto, Everton Jean da Silva; LaBorde, Chris

doi:10.1007/s12355-021-00973-9

Cited by 8 publications

(22 citation statements)

References 25 publications

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“…This makes these indices more sensitive to variation in yield unrelated to the genetic potential of the varieties. The use of a single ratoon to plant cane ratio to estimate varieties' RA overlooks the season-to-season variability in environmental conditions affecting yield (Arbelo et al, 2023;Ramburan et al, 2013;Zhou & Shoko, 2012). In practice, these indices are used in sugarcane industries where the last profitable crop to be harvested is the second or third ratoon crop (e.g., Louisiana and Egypt).…”

Section: Discussionmentioning

confidence: 99%

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Indices for measuring ratooning ability of sugarcane varieties

Dlamini,

Franke,

Zhou

2024

Crop Science

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The primary objective of sugarcane (Saccharum spp.) variety testing programs is to identify cultivars that have high cane yields and good ratooning ability (RA). The purpose of this study was to evaluate the usefulness of six RA indices to estimate RA among sugarcane varieties and to identify an index well suited to predict RA in long‐term ratoon crop cycles. The six indices were as follows: ratoon crops yield means, second ratoon to plant cane yield ratio, final ratoon crop to plant cane yield ratio, mean of ratoon crops to plant cane yield ratio (RP), linear regression, and quadratic regression. Data from four variety trials consisting of eight post‐release varieties plus a control, harvested early, mid, and late in the cropping season for over six crop cycles, were used to estimate the RA indices. To identify indices that can predict RA in long‐term ratoon crop cycles, simple linear regression analyses were used to compare the RA indices derived from 6‐year crop cycles and similar indices derived from data from 111 commercial fields harvested over 11 successive crops. Coefficient of determination (R2) values plotted against their respective ratoon crop numbers were used to determine the minimum number of ratoon crops required to accurately predict RA indices for the 11‐year crop cycle. The six indices varied in their rankings of the RA of varieties, emphasizing the importance of identifying the most appropriate indices for different ratooning practices. Based on its highest R2 value of 0.92, the RP index was identified as the most accurate index to predict RA in long‐term ratoon crop cycles requiring a minimum of five successive crops.

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Section: Discussionmentioning

confidence: 99%

“…A variety with a high RP value is considered as having a good RA. Ebid et al (2022), Galal (2017), andArbelo et al (2023) utilized this index to identify varieties with good RA. Some crop breeders and agronomists utilize a linear function to quantify RA.…”

Section: Crop Sciencementioning

confidence: 99%

Indices for measuring ratooning ability of sugarcane varieties

Dlamini,

Franke,

Zhou

2024

Crop Science

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“…There are three main methods that have been reported to calculate the RA in sugarcane (Dunckelman, 1982;Milligan et al, 1996;Zhou and Shoko, 2012). Although those methods have some differences and performed we measured the RA following the methods described by Milligan et al (1996) andCoto Arbelo et al (2021), since it is easiest to calculate. The box plot distribution of phenotypic data of all five RA traits was continuous (Figure 1) and normal, signifying that several QTLs likely control the inheritance of those complex traits.…”

Section: Discussionmentioning

confidence: 99%

A first look at the ability to use genomic prediction for improving the ratooning ability of sugarcane

et al. 2023

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The sugarcane ratooning ability (RA) is the most important target trait for breeders seeking to enhance the profitability of sugarcane production by reducing the planting cost. Understanding the genetics governing the RA could help breeders by identifying molecular markers that could be used for genomics-assisted breeding (GAB). A replicated field trial was conducted for three crop cycles (plant cane, first ratoon, and second ratoon) using 432 sugarcane clones and used for conducting genome-wide association and genomic prediction of five sugar and yield component traits of the RA. The RA traits for economic index (EI), stalk population (SP), stalk weight (SW), tonns of cane per hectare (TCH), and tonns of sucrose per hectare (TSH) were estimated from the yield and sugar data. A total of six putative quantitative trait loci and eight nonredundant single-nucleotide polymorphism (SNP) markers were associated with all five tested RA traits and appear to be unique. Seven putative candidate genes were colocated with significant SNPs associated with the five RA traits. The genomic prediction accuracies for those tested traits were moderate and ranged from 0.21 to 0.36. However, the models fitting fixed effects for the most significant associated markers for each respective trait did not give any advantages over the standard models without fixed effects. As a result of this study, more robust markers could be used in the future for clone selection in sugarcane, potentially helping resolve the genetic control of the RA in sugarcane.

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“…Each plot was arranged as three 10.5‐m‐long rows with 1.5‐m inter‐row spacing and 1.5‐m alleys between plots. The millable stalks were counted in the two interior rows of each plot in each crop (Coto et al., 2023). The growth habits, agronomic characteristics, and diseases of each genotype were evaluated visually throughout the growing seasons of the plant‐cane, the first‐ratoon, and the second‐ratoon crops.…”

Section: Methodsmentioning

confidence: 99%

Registration of ‘CP 15‐2516’ sugarcane for organic soils in Florida

Sood,

Momotaz,

Coto Arbelo

et al. 2024

J of Plant Registrations

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Abstract‘CP 15‐2516’ (Reg. no. CV‐215, PI 703029) sugarcane cultivar, a complex hybrid of Saccharum spp., was developed jointly by USDA‐ARS, the University of Florida, and the Florida Sugar Cane League. CP 15‐2516 was released in June 2022 for commercial cultivation on the Florida organic (muck) soils due to its high cane and sucrose yields, commercial recoverable sucrose (CRS), and economic index (EI). CP 15‐2516 originated from CPX13‐1630, a cross between a female parent (CP 95‐1039) and a male parent (‘CP 06‐2400’). CP 15‐2516 is resistant to brown rust, orange rust, and Sugarcane mosaic virus strain E. CP 15‐2516 harbors the Bru1 marker associated with brown rust resistance. CP 15‐2516 is moderately resistant to leaf scald and ratoon stunt disease, smut, and yellow leaf. Based on the results of three harvest cycles over five locations in Stage 4 on muck soils, cane and sucrose yields of CP 15‐2516 were 10.48% (181.31 Mg ha−1) and 11.49% (18.62 Mg ha−1) respectively, higher (P < .05) than those of the reference cultivar ‘CP 96‐1252’. Compared with CP 96‐1252, the EI of CP 15‐2516 was significantly (P < .05) higher by 15% (3233 ha−1). The mean cane fiber content of CP 15‐2516 was 138.7 kg Mg−1 and was 1% to 8% higher than the reference cultivars (‘CP 00‐1101’, CP 96‐1252, and ‘CPCL 05‐1201’). CP 15‐2516 flowers intermittently during January in Florida's climate. CP 15‐2516 has a better freeze tolerance than commercial reference cultivars CP 00‐1101 and CP 96‐1252. CP 15‐2516 is expected to positively contribute to the profitability and sustainability of the Florida sugarcane industry.

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Selection via Cane Yield and Ratooning Ability of Sugarcane Genotypes in Sandy Soils in Florida

Cited by 8 publications

References 25 publications

Indices for measuring ratooning ability of sugarcane varieties

Indices for measuring ratooning ability of sugarcane varieties

A first look at the ability to use genomic prediction for improving the ratooning ability of sugarcane

Registration of ‘CP 15‐2516’ sugarcane for organic soils in Florida

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