Sweetpotato Response to Reduced Rates of Dicamba

2021 ◽  
pp. 1-15
Author(s):  
Mark W. Shankle ◽  
Lorin M. Harvey ◽  
Stephen L. Meyers ◽  
Callie J. Morris
Keyword(s):  
Field Study ◽  
Growing Season ◽  
Additional Treatment ◽  
Storage Root ◽  
Root Yield ◽  
Target Movement ◽  
Marketable Yield ◽  
Crop Tolerance ◽  
Plant Injury ◽  
And Storage

A field study was conducted in Mississippi to determine the effect of reduced dicamba rates on sweetpotato crop tolerance and storage root yield, simulating off-target movement or sprayer tank contamination. Treatments were a non-treated control and four rates of dicamba [70 g ae ha−1 (1/8X), 35 g ae ha−1 (1/16X), 8.65 g ae ha−1 (1/64X) and 1.09 g ae ha−1 (1/512X)] applied either 3 days before transplanting (DBP) or 1, 3, 5, or 7 weeks after transplanting (WAP). An additional treatment consisted of 560 g ae ha−1 (1X) dicamba applied 3 DBP. Crop injury ratings were taken 1, 2, 3, and 4 weeks after treatment (WAT). Across application timings, predicted sweetpotato plant injury 1, 2, 3, and 4 WAT increased from 3 to 22%, 3 to 32%, 2 to 58%, and 1 to 64% as dicamba rate increased from 0 to 70 g ha−1 (1/8X), respectively. As dicamba rate increased from 1/512X to 1/8X, predicted No. 1 yield decreased from 127 to 55%, 103 to 69%, 124 to 31%, and 124 to 41% of the non-treated control for applications made 1, 3, 5, and 7 WAP, respectively. Similarly, as dicamba rate increased from 1/512X to 1/8X, predicted marketable yield decreased from 123 to 57%, 107 to 77%, 121 to 44%, and 110 to 53% of the non-treated control for applications made 1, 3, 5, and 7 WAP, respectively. Dicamba residue (5.3 to 14.3 parts per billion) was detected in roots treated with 1/16X or 1/8X dicamba applied 5 or 7 WAP and 1/64X dicamba applied 7 WAP with the highest residue detected in roots harvested from sweetpotato plants treated at 7 WAP. Collectively, care should be taken to avoid sweetpotato exposure to dicamba especially at 1/8X and 1/16X rates during the growing season.

scholarly journals Potassium Fertilization Stimulates Sucrose-to-Starch Conversion and Root Formation in Sweet Potato (Ipomoea batatas (L.) Lam.)

2021 ◽  
Vol 22 (9) ◽  
pp. 4826
Author(s):  
Yang Gao ◽  
Zhonghou Tang ◽  
Houqiang Xia ◽  
Minfei Sheng ◽  
Ming Liu ◽  
...  
Keyword(s):  
Sweet Potato ◽  
Ipomoea Batatas ◽  
Intercellular Co2 Concentration ◽  
Biomass Accumulation ◽  
Starch Accumulation ◽  
Storage Root ◽  
Root Yield ◽  
Starch Conversion ◽  
And Storage ◽  
Low K

A field experiment was established to study sweet potato growth, starch dynamic accumulation, key enzymes and gene transcription in the sucrose-to-starch conversion and their relationships under six K2O rates using Ningzishu 1 (sensitive to low-K) and Xushu 32 (tolerant to low-K). The results indicated that K application significantly improved the biomass accumulation of plant and storage root, although treatments at high levels of K, i.e., 300–375 kg K2O ha−1, significantly decreased plant biomass and storage root yield. Compared with the no-K treatment, K application enhanced the biomass accumulation of plant and storage root by 3–47% and 13–45%, respectively, through promoting the biomass accumulation rate. Additionally, K application also enhanced the photosynthetic capacity of sweet potato. In this study, low stomatal conductance and net photosynthetic rate (Pn) accompanied with decreased intercellular CO2 concentration were observed in the no-K treatment at 35 DAT, indicating that Pn was reduced mainly due to stomatal limitation; at 55 DAT, reduced Pn in the no-K treatment was caused by non-stomatal factors. Compared with the no-K treatment, the content of sucrose, amylose and amylopectin decreased by 9–34%, 9–23% and 6–19%, respectively, but starch accumulation increased by 11–21% under K supply. The activities of sucrose synthetase (SuSy), adenosine-diphosphate-glucose pyrophosphorylase (AGPase), starch synthase (SSS) and the transcription of Susy, AGP, SSS34 and SSS67 were enhanced by K application and had positive relationships with starch accumulation. Therefore, K application promoted starch accumulation and storage root yield through regulating the activities and genes transcription of SuSy, AGPase and SSS in the sucrose-to-starch conversion.

scholarly journals Effect of ZnSO4 fertilizer on soil chemical properties, performance and proximate quality of sweet potato in a derived savanna ecology of Nigeria

2018 ◽  
Vol 3 (1) ◽  
pp. 644-651
Author(s):  
A.O. Adekiya ◽  
C.M. Aboyeji ◽  
T.M. Agbede ◽  
O. Dunsin ◽  
O.T.V. Adebiyi
Keyword(s):  
Sweet Potato ◽  
Block Design ◽  
Chemical Properties ◽  
Soil Chemical Properties ◽  
Storage Root ◽  
Root Yield ◽  
The Mean ◽  
The Impact ◽  
And Storage

Abstract Micro-nutrients especially zinc can not only increase the yield of sweet potato but can also improve the quality of tubers. Hence, experiments were carried out in 2015 and 2016 cropping seasons to determine the impact of various levels of ZnSO4 fertilizer on soil chemical properties, foliage and storage root yields and proximate qualities of sweet potato (Ipomoea batatas L.). The experiments consisted of 5 levels (0, 5, 10, 15 and 20 kg ha-1) of ZnSO4 fertilizer. These were arranged in a randomized complete block design and replicated three times. ZnSO4 increased (with the exception of P) soil chemical properties compared with the control. N, K, Ca, Mg and Zn were increased up to the 20 kg ha-1 ZnSO4 level in both years. ZnSO4 reduced P concentrations in soil as the level increased. For sweet potato performance, 5 kg ha-1 ZnSO4 fertilizer had the highest values of foliage yield (vine length and vine weight) and storage root yield. Using the mean of the two years and compared with the control, ZnSO4 fertilizer at 5 kg ha-1 increased storage root yield of sweet potato by 17.4%. On fitting the mean storage root yield data of the two years with a cubic equation, the optimum rate of Zn for sweet potato was found to be 3.9 kg ha-1 to achieve the maximum sweet potato yield. In this study, relative to the control, ZnSO4 fertilizer increased moisture and decreased the fibre contents of sweet potato. There were no consistent patterns of variation between the 5, 10, 15 and 20 kg ha-1 ZnSO4 treatments for proximate qualities except that the highest values of fat, protein, carbohydrate and ash was at 5 kg ha-1 ZnSO4.

Response of sweetpotato to pendimethalin application rate and timing

2019 ◽  
Vol 34 (2) ◽  
pp. 301-304
Author(s):  
Stephen L. Meyers ◽  
Sushila Chaudhari ◽  
Katherine M. Jennings ◽  
Donnie K. Miller ◽  
Mark W. Shankle
Keyword(s):  
North Carolina ◽  
Field Trials ◽  
Application Rate ◽  
Storage Root ◽  
Application Timing ◽  
Crop Tolerance ◽  
Valuable Addition ◽  
Crop Injury ◽  
And Storage ◽  
Root Quality

AbstractField trials were conducted near Pontotoc, Mississippi; Chase, Louisiana; and Clinton, North Carolina, in 2017 and 2018 to determine the effect of pendimethalin rate and timing application on sweetpotato crop tolerance, yield, and storage root quality. Treatments consisted of five pendimethalin rates (266, 532, 1,065, 1,597, and 2,130 g ai ha−1) by two application timings (0 to 1 or 10 to 14 d after transplanting). Additionally, a nontreated check was included for comparison. Crop injury (stunting) was minimal (≤4%) through 6 wk after transplanting (WAP) and no injury was observed from 8 to 14 WAP, regardless of application timing or rate. The nontreated check yielded 6.6, 17.6, 5.5, and 32.1 × 103 kg ha−1 of canner, no. 1, jumbo, and total grades, respectively. Neither pendimethalin application timing nor rate influenced jumbo, no. 1, marketable, or total sweetpotato yield. Overall, these results indicate that pendimethalin will be a valuable addition to the toolkit of sweetpotato growers.

scholarly journals Effect of Nutrient Solution Concentration on the Growth of Hydroponic Sweetpotato

Agronomy ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 1708
Author(s):  
Masaru Sakamoto ◽  
Takahiro Suzuki
Keyword(s):  
Nutrient Solution ◽  
Ipomoea Batatas ◽  
Critical Factor ◽  
Solution Concentration ◽  
Growth And Yield ◽  
Storage Root ◽  
Root Yield ◽  
Cultivation Period ◽  
Significant Difference ◽  
And Storage

Nutrient solution concentration (NSC) is a critical factor affecting plant growth in hydroponics. Here, we investigated the effects of hydroponic NSC on the growth and yield of sweetpotato (Ipomoea batatas (L.) Lam.) plants. First, sweetpotato cuttings were cultivated hydroponically in three different NSCs with low, medium, or high electrical conductivity (EC; 0.8, 1.4, and 2.6 dS m−1, respectively). Shoot growth and storage root yield increased at 143 days after plantation (DAP), depending on the NSC. Next, we examined the effect of NSC changes at half of the cultivation period on the growth and yield, using high and low NSC conditions. In plants transferred from high to low EC (HL plants), the number of attached leaves increased toward the end of the first half of the cultivation period (73 DAP), compared with plants transferred from low to high EC (LH plants). Additionally, the number of attached leaves decreased in HL plants from 73 DAP to the end of the cultivation period (155 DAP), whereas this value increased in LH plants. These changes occurred due to a high leaf abscission ratio in HL plants. The storage root yield showed no significant difference between HL and LH plants. Our results suggest that the regulation of hydroponic NSC during the cultivation period affects the growth characteristics of sweetpotato.

scholarly journals Morphological Variability and Storage Root Productivity of Some Sweet Potato (Ipomoea Batatas (L.) Lam) Genotypes in An Ultisol

2021 ◽  
Vol 2 (6) ◽  
Author(s):  
Gamaliel I. Harry ◽  
Joseph I. Ulasi
Keyword(s):  
Principal Component Analysis ◽  
Sweet Potato ◽  
Ipomoea Batatas ◽  
Principal Component ◽  
Component Analysis ◽  
The Other ◽  
Storage Root ◽  
Root Yield ◽  
Cropping Seasons ◽  
And Storage

Ten sweet potato (Ipomoea batatas (L.) Lam) genotypes sourced from National Root Crops Research Institute, Umudike were evaluated under rainfed condition in 2020 and 2021 cropping seasons at the Teaching and Research Farm of the University of Uyo, Uyo, Akwa Ibom State to ascertain variability among ten sweet potato genotypes and identify traits which are positively and significantly associated with yield and also identify genotypes with high yield potential for cultivation on an ultisol of Akwa Ibom State, Nigeria. The ten genotypes: TIS87/0087, Naspoy-12, Umuspo-4, Umuspo-1, Naspoy-11, Lourdes, Erica, Delvia, Ex-Igbariam and Umuspo-3 were used as treatments and the experiment was laid out in a randomized complete block design with three replications. Data collected were subjected to analysis of variance, correlation and principal component analysis. The genotype differs significantly (P≤ 0.05) for number of marketable roots, weight of marketable roots and fresh roots yield. UMUSPO-3 was superior over all the other genotypes for the following character; number of marketable roots, weight of marketable root yield and fresh root yield. Umuspo-3 produced the highest storage root yield (28.78t/ha, 27.09t/ha) in 2020 and 2021 cropping seasons, respectively. The result of the correlation analysis also revealed that vine length, number of marketable roots, weight of marketable were highly significantly and positively (P<0.01) correlated with fresh root yield. Principal component analysis (PCA) had four main principal components explaining 81.55% of the total variation with number of marketable roots, weight of marketable tuber and storage root yield contributing the most to the first PCA. Umuspo-3 outperformed the other nine sweet potato genotypes in yield and yield related characters. Therefore, Umuspo-3 been a high yielding genotype adaptable to Uyo agro-ecology, could be recommended to sweet potato growers for fresh storage root production.

scholarly journals EFFECT OF GYPSUM ON EARLY GROWTH AND YIELD OF SWEET POTATO.

HortScience ◽  
1990 ◽  
Vol 25 (9) ◽  
pp. 1078a-1078
Author(s):  
E. Niyonsaba ◽  
E. G. Rhoden ◽  
P. K. Biswas ◽  
G.W. Carver
Keyword(s):  
Sweet Potato ◽  
Ipomoea Batatas ◽  
Dry Matter ◽  
Block Design ◽  
Early Growth ◽  
Growth And Yield ◽  
Root Weight ◽  
Storage Root ◽  
Root Yield ◽  
And Storage

A study was conducted to assess the effects of gypsum on the early growth and storage root yield of sweet potato (Ipomoea batatas) cvs `Jewel', `Goergia Jet' and `TI-155'. Three rates of gypsum were applied (1.03, 2.06 and 3.09 tons/acre). These represented half, recommended and 1.5 recommended levels. The experiment was a randomized complete block design with a split plot arrangement of treatment. Leaf area, total dry matter, leaf dry matter and stat-age root weight were recorded at 30-day intervals. Plants receiving half the recommended levels of gypsum produced the highest total storage root dry matter (0.306 t/a) and the highest leaf dry matter (0.116 t/a). Although a positive relationship exists between leaf dry matter and storage root yield between 90 and 120 days, there was no such relationship between those parameters either at 30 and 60 days or 60 and 90 days after transplanting.

scholarly journals Sweetpotato `Beauregard' Mericlones Vary in Yield, Vine Characteristics, and Storage Root Size and Shape Attributes

HortScience ◽  
2003 ◽  
Vol 38 (6) ◽  
pp. 1089-1092 ◽  
Author(s):  
A.Q. Villordon ◽  
J.M. Cannon ◽  
H.L. Carroll ◽  
J.W. Franklin ◽  
C.A. Clark ◽  
...  
Keyword(s):  
Ipomoea Batatas ◽  
Maximum Yield ◽  
Storage Root ◽  
Storage Roots ◽  
Marketable Yield ◽  
Methods Of Evaluation ◽  
Foundation Seed ◽  
Axis Length ◽  
And Storage ◽  
Selection Of

Yield tests and evaluation of selected storage root and vine characters were conducted among 12 `Beauregard' sweetpotato [Ipomoea batatas (L.) Lam.] mericlones. Maximum yield differences were 43%, 48%, 79%, and 40% for U.S. #1, canners, jumbos, and total marketable yield, respectively. Additive main effect and multiplicative interaction (AMMI) biplot analysis was useful in graphically presenting the yield differences and stability patterns of mericlones. Differences were also detected in vine length, internode diameter, and internode length. Digital image analysis of U.S. #1 storage roots also revealed differences in storage root minor axis length, roundness, and elongation attributes. The results provide valuable information for enhancing current methods of evaluation and selection of mericlones for inclusion in sweetpotato foundation seed programs.

scholarly journals Towards closing cassava yield gap in West Africa: Agronomic efficiency and storage root yield responses to NPK fertilizers

2020 ◽  
Vol 253 ◽  
pp. 107820 ◽  
Author(s):  
J.G. Adiele ◽  
A.G.T. Schut ◽  
R.P.M. van den Beuken ◽  
K.S. Ezui ◽  
P. Pypers ◽  
...  
Keyword(s):  
West Africa ◽  
Storage Root ◽  
Root Yield ◽  
Yield Gap ◽  
Npk Fertilizers ◽  
Agronomic Efficiency ◽  
Yield Responses ◽  
And Storage

scholarly journals Identifying Suitable Genotypes for Different Cassava Production Environments—A Modeling Approach

Agronomy ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1372
Author(s):  
Phanupong Phoncharoen ◽  
Poramate Banterng ◽  
Nimitr Vorasoot ◽  
Sanun Jogloy ◽  
Piyada Theerakulpisut ◽  
...  
Keyword(s):  
Planting Date ◽  
Weather Data ◽  
Total Biomass ◽  
Storage Root ◽  
Root Yield ◽  
Planting Dates ◽  
Production Environments ◽  
Rainfed Conditions ◽  
Cassava Production ◽  
And Storage

Crop simulation models can be used to identify appropriate genotypes and growing environments for improving cassava yield. The aim of this study was to determine the best genotypes for different cassava production environments using the cropping system model (CSM)–MANIHOT–Cassava. Data from cassava experiments that were conducted from 2009–2011 and 2014–2015 at Khon Kaen, Thailand, were used to evaluate the model. Simulations were then conducted for different scenarios using four cassava genotypes (Kasetsart 50, Rayong 9, Rayong 11, and CMR38–125–77), twelve planting dates (at monthly intervals starting in January and ending in December), and ten locations in Thailand under fully irrigated and rainfed conditions using 30 years of historical weather data. Model evaluation with the experimental data for total biomass and storage root yield indicated that the model classified well for relative productivity among different planting dates. The model indicated that growing cassava under irrigated conditions generally produced higher biomass and storage root yield than under rainfed conditions. The cassava genotype CMR38–125–77 was identified for high biomass, while the genotype Rayong 9 was identified as a good genetic resource for high yield. The December planting date resulted in the highest biomass for all locations, while the February planting date produced the highest storage root yield for almost all locations. The results from this study suggest that the CSM–MANIHOT–Cassava model can assist in determining suitable genotypes for different cassava production environments for Thailand, and that this approach could be applicable to other cassava growing areas.

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