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Branching, flowering and fruiting of Jatropha curcas treated with ethephon or benzyladenine and gibberellins

Abstracts

Jatropha curcas L. has been identified for biofuel production but it presents limited commercial yields due to limited branching and a lack of yield uniformity. The objective of this study was to evaluate the effects of single application of ethephon or a combination of 6-benzyladenine (BA) with gibberellic acid isomers A4 and A7 (GA4+7) on branch induction, flowering and fruit production in jatropha plants with and without leaves. Plants with and without leaves showed differences for growth and reproductive variables. For all variables except inflorescence set, there were no significant statistical interactions between the presence of leaves and plant growth regulators concentration. The total number of flowers per inflorescence was reduced as ethephon concentration was increased. As BA + GA4 +7 concentration increased, seed dry weight increased. Thus, ethephon and BA + GA4 +7 applications appeared to affect flowering and seed production to a greater extent than branching. The inability to discern significant treatment effects for most variables might have been due to the large variability within plant populations studied and thus resulting in an insufficient sample size. Therefore, data collected from this study were used for statistical estimations of sample sizes to provide a reference for future studies.

BA + GA4 + 7; branching; ethephon; flowering; fruiting; jatropha


Jatropha curcas L. tem sido identificada para a produção de biocombustível, mas apresenta produção comercial restrita devido à limitada ramificação e à ausência de uniformidade na produção. O objetivo deste estudo foi avaliar os efeitos de uma única aplicação de etefon ou da combinação de benziladenina (BA) com isômeros A4 e A7 do ácido giberélico (GA4+7) na indução de ramifica ções, florescimento e frutificação, em plantas de jatropha com e sem folhas. Plantas com e sem folhas mostraram diferenças para variáveis de crescimento e reprodutivas. Não houve interação significativa entre a presença de folhas e as concentrações de regulador de crescimento, exceto para a variável vingamento de inflorescência. O número total de flores por inflorescência diminuiu à medida que a concentração de etefon aumentou. O peso seco da semente aumentou com o aumento da concen tração de BA + GA4 +7 . Assim, aplicações de etefon e BA + GA4 +7 pareceram ter um efeito mais pronunciado na produção de flores e sementes do que na indução de ramos. A inabilidade de discernir os efeitos significativos dos tratamentos para a maioria das variáveis pode ter ocorrido devido à grande variabilidade existente nas populações de plantas estudadas, resultando em um tamanho da amostra insuficiente. Portanto, os dados coletados neste estudo foram utilizados para estimativas estatísticas de tamanhos de amostras para fornecer referências a estudos futuros.

BA + GA4 + 7; ramificação; etefon; flo rescimento; frutificação; jatropha


INTRODUCTION

Jatropha (Jatropha curcas L.) is a pantropical species widely distributed in Central and South America that has been identified for biofuel production (Francis et al. 2005Francis G, Edinger R and Becker K. 2005. A concept for simultaneous wasteland reclamation, fuel production, and socio-economic development in degraded areas in India: Need, potential and perspectives of Jatropha plantations. Nat Res Forum 29: 12-24.). The oil extracted from the seeds produces good quality biodiesel comparable with fossil diesel and biodiesel from other agronomic crops (Fairless 2007Fairless D. 2007. Biofuel: The little shrub that could - maybe. Nature 449: 652-655.). Furthermore, the oil has been successfully tested for use as bio jet fuel, meeting European and American quality standards (Openshaw 2000Openshaw K. 2000. A review of Jatropha curcas: an oil plant of unfulfilled promise. Biomass Bioenerg 19: 1-15.).

Jatropha is still undomesticated and not considered a commercial crop due to the lack of breeding and genetic improvement, as well as the lack of specific cultivation practices (Francis et al. 2005). Most existing plantations were initiated from seeds derived from wild plants and therefore yields are variable (Carels 2009Carels N. 2009. Chapter 2 Jatropha curcas: A Review. Adv Bot Res 50: 39-86., Fairless 2007) and productivity is non-uniform (Kant and Wu 2011Kant P and Wu S. 2011. The extraordinary collapse of Jatro pha as a global biofuel. Environ Sci Technol 45: 7114-7115.).

Seed and oil yield in jatropha are affected by several factors, such as genetics (Das et al. 2010Das S, Misra RC, Mahapatra AK, Gantayat BP and Pattnaik RK. 2010. Genetic variability, character asso ciation and path analysis in Jatropha curcas. World Appl Sci J 8: 1304-1308., Mohapatra and Panda 2010Mohapatra S and Panda PK. 2010. Genetic variability on growth, phenological and seed characteristics of Jatropha curcas L. Not Sci Biol 2: 127-132.), age of the plant (Jongschaap et al. 2007Jongschaap Ree, Corré WJ, Bindraban PS and Brandenburg WA. 2007. Claims and facts on Jatropha curcas L. Global Jatropha curcas evaluation, breeding and propagation programme. Report 158. Wageningen: Plant Research International B. V., The Netherlands, 42 p.), site characteristics such as rainfall, soil type and fertility (Francis et al. 2005), and agronomic practices such as plant spacing, pruning, irrigation, and fertilization (Behera et al. 2010Behera SK, Srivastava P, Tripathi R, Singh JP and Singh N. 2010. Evaluation of plant performance of Jatropha curcas L. under different agro-practices for optimizing biomass - A case study. Biomass Bioenerg 34: 30-41., Gosh et al. 2011Gosh A, Chikara J and Chaudhary DR. 2011. Diminution of economic yield as affected by pruning and chemical manipulation of Jatropha curcas L. Biomass Bioenerg 35: 1021-1029.). Seed and oil production are also dependent on female flower production and seed set (Jongschaap et al. 2007). Therefore, a high male to female ratio is considered one of the factors limiting yield in this species (Wu et al. 2011). Because inflorescences are formed terminally on the branches, poor branching is considered a limitation to high yields (Carels 2009, Mohapatra and Panda 2010). Kureel (2006)Kureel RS. 2006. Prospects and potential of Jatropha curcas for biodiesel production. In: Biodiesel Conference towards Energy Independence - Focus on Jatropha, Hyderabad, India. Proceedings..., Hyderabad, p. 43-74. reported that the overall oil yield could be improved by increasing the total number of fruit-bearing branches per plant.

Plant growth regulators (PGRs) have been used to modify plant architecture (Hayashi et al. 2001Hayashi T, Heins RD, Cameron AC and Carlson WH. 2001. Ethephon influences flowering, height, and bran ching of several herbaceous perennials. Sci Hortic 91: 305-323., Mackay et al. 2007Mackay WA, Arnold MA, McDonald GV and Sankhla N. 2007. Cyclanilide alteration in growth of five landscape plant species during container production are location specific. J Environ Hort 25: 109-115. ). Exogenous applications of PGRs have been shown to induce growth responses resulting in increased growth and yield in a variety of crops including jatropha, Zea mays L. (corn), and Gossypium hirsutum L. (cotton) (Abdelgadir et al. 2010Abdelgadir HA, Jager AK, Johnson SD and Van Staden J. 2010. Influence of plant growth regulators on flowering, fruiting, seed oil content, and oil quality of Jatropha curcas. S Afr J Bot 76: 440-446., Biles and Cothren 2001Biles SP and Cothren JT. 2001. Flowering and yield response of cotton to application of mepiquat chloride and PGR-IV. Crop Sci 41:1834-1837., Shekoofa and Emam 2008Shekoofa A and Emam Y. 2008. Plant growth regulator (ethephon) alters maize (Zea mays L.) growth, water use and grain yield under water stress. J Agron 7: 41-48.). Ethephon decomposes to ethylene within plant tissues and it is widely used as a plant growth regulator in commercial crop production. Ethephon is also used to reduce stem elongation, increase lateral branching, and manipulate flower initiation (Campos et al. 2009Campos MF, Ono EO and Rodrigues JD. 2009. Desen volvimento da parte aérea de plantas de soja em função de reguladores vegetais. Ceres 56: 74-79., Tamari e al. 1998Tamari G, Pappa L, Zered T and Borochov A. 1998. Effects of ethrel and gibberellin on impatiens plants. Sci Hortic 76: 29-35.). A combination of 6-benzyladenine (BA) with gibberellic acid isomers A4 and A7 (GA4+7) has been used to increase shoot elongation and flower production, as well as to release buds from apical dominance, promoting branch development (Jacyna and Puchala 2004Jacyna T and Puchala A. 2004. Application of environ ment friendly branch promoting substances to advance sweet cherry tree canopy development in the orchard. J Fruit Ornam Plant Res 12: 177-182., Keever and Foster 1990Keever GJ. 1994. BA-induced offset formation in hosta. J Environ Hort 13: 4-5., Ravetta and Palzkill 1992Ravetta DA and Palzkill DA. 1992. The effect of growth regulators and apex removal on branching and flower bud production of jojoba. Ind Crop Prod 1: 47-55.).

Studies on the use of PGRs to induce branching and to improve yield in jatropha are limited. Increased branching in jatropha could increase fruit production. The objective of this study was to evaluate the effects of ethephon or BA + GA4 +7 applications on branch induction, and subsequent flowering and fruit production in jatropha. The effects of PGRs on plants that were already actively growing and plants in a pre-leaf stage at the time of application were evaluated.

MATERIALS AND METHODS

Plant Material and Site Characteristics

Plants for the experiment were selected from a jatropha field plot at the University of Florida, Tropical Research and Educational Center (TREC) (25°50'N and 80°50'W, 3.8 m above sea level) in Homestead, FL.

Two-year-old plants were used for this study. Seeds originating from a jatropha accession from India were germinated in a greenhouse and planted in the field at TREC on June 25, 2009. Plants were spaced 2.4 m (within-row) by 3.7 m (between-rows). During prolonged dry periods, plants were irrigated every other day with a microsprinkler system (98 L·h-1) throughout the year. Plants were fertilized monthly with 100 g (July through December) to 200 g (January through April) of 6N-5P2O5-15K2O fertilizer (Atlantic FEC - Fertilizer and Chemical Co., Homestead, FL).

At the initiation of treatments in May 2011, several plants had set leaves after breaking winter dormancy (plants with leaves) while others were at a pre-leaf stage (plants without leaves). A total of 64 plants were selected for the experiment; 32 with leaves and 32 without leaves. Plants were not pruned prior to or during the experiment.

Plant Growth Regulators

Treatments consisted of foliar applications of ethephon (Florel(r); Monterey Lawn and Garden Products, Inc., Fresno, California, USA) or BA + GA4+7 (Promalin(r); Valent BiosciencesTM Corporation, Walnut Creek, California, USA) to plants with leaves or without leaves. Ethephon was applied at concentrations of 0, 500, 1000, or 2000 mg.L-1 and BA + GA4+7 was applied at concentrations of 0, 250, 500, or 1000 mg.L-1. Tween(r) 20 (Merck, Germany) 0.1% (v/v) was added to the solutions as a surfactant. The pH of ethephon and BA + GA4+7 solutions were adjusted to 4.5 and 6.0, respectively, as recommended by the manufacturers. Plants (stem and canopy) were sprayed to run-off with 600 mL of solution per plant per application using a hand sprayer. Control plants were sprayed with 600 mL of tap water. Immediately after sunrise on May 27th, 2011, a single application of each PGR was made.

As per manufacturers' recommendations, ethephon and BA + GA4+7 should be applied to actively growing plants. Plants with leaves were actively growing at the time of PGR applications, and had already started to flower and initiate fruit production. In contrast, plants "without leaves" had buds but they were at a pre-leaf stage at the time of PGR applications.

Morphological Measurements

Plants were monitored from May through November 2011. In November 2011, final plant size (cm) and number of branches per plant were recorded. Plant height (cm) was measured as the distance between soil surface and the tip of the main stem. Plant canopy area (cm) was measured in two perpendicular directions (width1 and width2). Plant size (cm) was calculated by (height + width1 + width2)/3, as suggested by Keever (1994). The number of all branches longer than 3 cm were recorded (Abdelgadir et al. 2010).

The total number of inflorescences per plant was recorded monthly. Inflorescence set was determined as the percentage of inflorescences with fruit per treatment. Number of flowers per inflorescence (total, male and female flowers), male to female flower ratio, number of fruit per bunch, and percentage of fruit set, were determined as the mean of 8 inflorescences randomly selected on each plant; a total of 32 inflorescences per treatment. Fruit set was determined as the percen tage of fruit divided by the number of female flowers per inflorescence. Fruit set was estimated one month after the first inflorescence flower had opened. Total number of fruit per plant was recorded by harvesting and counting all fruit from inflorescences, formed after PGR application. Fruit were manually harvested when they started to mature. Total number of seeds per plant was recorded by manually opening all fruits from each plant and counting the number of seeds. Fruit yield (g) was recorded as the whole fruit fresh weight of all fruits harvested per plant. Seed yield (g) was recorded as the whole seed dry weight of all seeds harvested per plant, after seeds were oven dried for 48 h at 70 °C. Fruit fresh weight (g), number of seeds per fruit, seed fresh (g) and dry weight (g), and seed length (mm), thickness (mm) and width (mm) were given as the mean of 50 fruit or seeds randomly selected per plant, a total of 200 fruit or seeds per treatment. To calculate 100-seed weight (g), 100 seeds from each plant were randomly selected and weighed.

Experimental Design and Data Analysis

Data for each PGR (ethephon or BA + GA4+7) were analyzed separately. For each PGR, data were analyzed as a 2 (leaf presence or absence) by 4 (PGR concentration) factorial, with 4 single-plant replications per treatment combination, laid out in a completely randomized design. Two-way analysis of variance was performed to evaluate possible interactions between leaf presence and PGR concentrations. Regression analysis was performed to evaluate linear and quadratic responses of plant growth and development variables to PGR concentrations. Plants with and without leaves were combined for regression analysis for variables if no interaction between leaf presence and PGR concentration was detected. Differences between plants with leaves and without leaves were determined with a Student's T-test. Statistical analyses were performed using SAS Software (SAS Institute Inc., Cary, North Carolina, USA).

RESULTS

Within 4 h of ethephon and BA + GA4 +7 foliar applications, a light rain (0.80 mm) occurred at TREC, with a total of 15.8 mm for the day. Both ethephon and BA + GA4 +7 might have had their activity reduced due to rainfall within 6 to 24 h of application. Therefore plants were monitored daily to confirm any potential reduced activity of both PGRs. Plants sprayed with ethephon at 1000 or 2000 mg.L-1 showed leaf, inflorescence, fruit yellowing, and leaf abscission beginning on the third day until the seventh day after application. Leaf burn was also observed for all ethephon concentrations. Plants sprayed with BA + GA4 +7 at 500 or 1000 mg.L-1 showed a slight leaf curling and leaf drop 4 days after application.

Plants with leaves were different from plants without leaves for several variables including plant size, number of fruit per plant, number of seeds per plant, fruit yield, seed yield, number of seeds per fruit, and inflorescence set (Tables SI TABLE SI Effects of ethephon (Florel®) concentrations on growth and reproductive variables (mean + SD) of Jatropha curcas L. plants with leaves and plants without leaves. †Test of statistical interactions between ethephon concentrations (C) and leaves (L) for each plant variable according to a two-way ANOVA. NS = non-significant, * = P < 0.05 and ** = P < 0.01. ‡Mean comparison between plants with (Yes) and without (No) leaves at each ethephon concentrations according to a nonpaired T-test (n = 4). NS indicates non-significant, * indicates P < 0.05, ** indicates P < 0.01, and *** = P < 0.001. §Coefficient of determination (R2) for linear and quadratic responses to ethephon concentrations (C) according to linear regression analysis. Treatments with (Yes) and without (No) leaves were pooled for regression analyses because there was no significant interaction (P > 0.05) between ethephon concentrations and leaves. All R2 values were significant at P < 0.05, unless indicated by “NS”. ¶Mean of 50 fruit or seeds per plant. and SII TABLE SII Effects of BA + GA4+7 (Promalin®) concentrations on growth and reproductive variables (mean + SD) of Jatropha curcas L. plants with leaves or without leaves. †Test of statistical interactions between BA + GA4+7 concentrations (C) and leaves (L) for each plant variable according to a two-way ANOVA. NS = non-significant, * = P < 0.05 and ** = P < 0.01. ‡Mean comparison between plants with (Yes) and without (No) leaves at each BA + GA4+7 concentrations according to a nonpaired T-test (n = 4). NS indicates non-significant, * indicates P < 0.05, ** indicates P < 0.01, and *** P < 0.001. §Coefficient of determination (R2) for linear and quadratic responses to BA + GA4+7 concentrations (C) according to linear regression analysis. Treatments with (Yes) and without (No) leaves were pooled for regression analyses when no significant interaction (P > 0.05) was found between BA + GA4+7 concentrations and leaves. All R2 values were significant at P < 0.05, unless indicated by “NS”. All R2 values were significant at P < 0.05, unless indicated by “NS”. ¶Mean of 50 fruit or seeds per plant. - Supplementary Material). Except for inflorescence set, there was no interaction between leaf presence and PGR concentration. Therefore, for all variables except inflorescence set, data from plants with or without leaves were pooled for regression analysis, increasing sample size to 8 plants per treatment. Data on flowering was not collected for plants without leaves. We expected to see continuous flowering for both plants with and without leaves. However, flowering for plants without leaves was concentrated within the month of June and after that very few inflorescences were produced. Therefore, the numbers of inflorescences collected were not sufficient for statistical analysis and the data was not included.

Ethephon or BA + GA4 +7 applications at all concentrations tested, had no effect on the number of branches, inflorescences, fruits and seeds (P > 0.05) (Tables SI TABLE SI Effects of ethephon (Florel®) concentrations on growth and reproductive variables (mean + SD) of Jatropha curcas L. plants with leaves and plants without leaves. †Test of statistical interactions between ethephon concentrations (C) and leaves (L) for each plant variable according to a two-way ANOVA. NS = non-significant, * = P < 0.05 and ** = P < 0.01. ‡Mean comparison between plants with (Yes) and without (No) leaves at each ethephon concentrations according to a nonpaired T-test (n = 4). NS indicates non-significant, * indicates P < 0.05, ** indicates P < 0.01, and *** = P < 0.001. §Coefficient of determination (R2) for linear and quadratic responses to ethephon concentrations (C) according to linear regression analysis. Treatments with (Yes) and without (No) leaves were pooled for regression analyses because there was no significant interaction (P > 0.05) between ethephon concentrations and leaves. All R2 values were significant at P < 0.05, unless indicated by “NS”. ¶Mean of 50 fruit or seeds per plant. and SII TABLE SII Effects of BA + GA4+7 (Promalin®) concentrations on growth and reproductive variables (mean + SD) of Jatropha curcas L. plants with leaves or without leaves. †Test of statistical interactions between BA + GA4+7 concentrations (C) and leaves (L) for each plant variable according to a two-way ANOVA. NS = non-significant, * = P < 0.05 and ** = P < 0.01. ‡Mean comparison between plants with (Yes) and without (No) leaves at each BA + GA4+7 concentrations according to a nonpaired T-test (n = 4). NS indicates non-significant, * indicates P < 0.05, ** indicates P < 0.01, and *** P < 0.001. §Coefficient of determination (R2) for linear and quadratic responses to BA + GA4+7 concentrations (C) according to linear regression analysis. Treatments with (Yes) and without (No) leaves were pooled for regression analyses when no significant interaction (P > 0.05) was found between BA + GA4+7 concentrations and leaves. All R2 values were significant at P < 0.05, unless indicated by “NS”. All R2 values were significant at P < 0.05, unless indicated by “NS”. ¶Mean of 50 fruit or seeds per plant. ). However, for plants treat ed with ethephon, there was a linear response to PGR concentration for the number of flowers and for the number of male flowers per inflorescence. As ethephon concentration increased, there was a reduction in both the numbers of flowers and male flowers per inflorescence (Fig. 1, Table III). Flower variables were not affected by BA + GA4 +7 applica tions (Table III). Plants treated with BA + GA4 +7 showed a linear relationship between concentration and seed dry weight. As BA + GA4 +7 concentration increased, seed dry weight also increased, although with a low correlation coefficient (R2 = 0.15) (Table SII TABLE SI Effects of ethephon (Florel®) concentrations on growth and reproductive variables (mean + SD) of Jatropha curcas L. plants with leaves and plants without leaves. †Test of statistical interactions between ethephon concentrations (C) and leaves (L) for each plant variable according to a two-way ANOVA. NS = non-significant, * = P < 0.05 and ** = P < 0.01. ‡Mean comparison between plants with (Yes) and without (No) leaves at each ethephon concentrations according to a nonpaired T-test (n = 4). NS indicates non-significant, * indicates P < 0.05, ** indicates P < 0.01, and *** = P < 0.001. §Coefficient of determination (R2) for linear and quadratic responses to ethephon concentrations (C) according to linear regression analysis. Treatments with (Yes) and without (No) leaves were pooled for regression analyses because there was no significant interaction (P > 0.05) between ethephon concentrations and leaves. All R2 values were significant at P < 0.05, unless indicated by “NS”. ¶Mean of 50 fruit or seeds per plant. ).

Figure 1
- Number of flowers per inflorescence (a) and number of male flowers per inflorescence (b) in Jatropha curcas L. plants treated with ethephon (Florel(r)) at 0, 500, 1000, or 2000 mg.L-1. Plants were treated in May 2011 (n= 4). Values are means of 8 inflorescences randomly selected for each plant, with a total of 32 inflorescences per treatment.

TABLE III
- Effects of ethephon (Florel(r)) and BA + GA4+7 (Promalin(r)) concentrations on flowering variables (mean + SD) of Jatropha curcas L. plants with leaves.

DISCUSSION

Ethephon has been reported to promote yellowing and abscission in different plant parts (Crisosto et al. 1991Crisosto CH, Tausend PC, Nagao MA, Fuchigami LH and Chen Thh. 1991. Effect of ethephon on ripening, seed development, branch growth and leaf abscission of Coffea arabica L. J Haw Pac Agri 3: 13-17. , Trueman et al. 2002Trueman SJ, McConchie CA and Turnbull Cgn. 2002. Ethephon promotion of crop abscission for unshaken and mechanically shaken macadamia. Aust J Exp Agr 42: 1001-1008.), similar to observations in this study at 1000 and 2000 mg.L-1. High PGR concentrations or multiple PGR applications can result in phytotoxity symptoms such as leaf curling, leaf cupping, and discoloration (Oates et al. 2004Oates JM, Keever GJ and Kessler JR. 2004. BA-induced shoot formation in Indian Hawthorn. J Environ Hort 22: 71-74.). Leaf curling and leaf drop that were observed at 500 or 1000 mg.L-1 of BA + GA4+7 could indicate phytotoxic effects at these concentrations. The presence of these symptoms indicates that the light rain which occurred within 4 h of PGR applications had no or little effect on the activity of either PGR, although a dilution effect caused by the rain cannot be discarded.

The number of male flowers per inflorescence decreased as ethephon concentration increased. This could explain why plants treated with ethephon showed a lower mean male to female flower ratio compared to plants treated with BA + GA4 +7. Ethephon may have reduced the formation of flowers (Kher et al. 1974Kher MA, Yokoi M and Kosugi K. 1974. Effects of ethrel on the growth and flower formation in pot chrysanthemums. J Jpn Soc Hort Sci 43: 91-96. , Nagao and Sakai 1990Nagao MA and Sakai WS. 1990. Effects of gibberellic acid, ethephon and girdling on the production of racemes in Macadamia integrifolia. Sci Hortic 42: 47-54.) and/or increased the abortion of young flowers (Tamari et al. 1998).

The increase in seed dry weight as BA + GA4 +7 concentrations increased could be due to assimilate mobilization into the seeds caused by cytokinins and gibberellins (Brenner et al. 1989Brenner ML, Schreiber Bmn and Jones RJ. 1989. Hor monal control of assimilate partitioning: regulation in the sink. Acta Hort 239: 141-148.). Gibberellins have been shown to be related to early and late seed development and their concentration is usually cor related with seed fresh weight accumulation in dif ferent species (Pharis and King 1985Pharis RP and King RW. 1985. Gibberellins and repro ductive development in seed plants. Ann Rev Plant Physiol 36: 517-568.). Similarly, BA is known for its ability to allocate nutrients to sites of application (Crosby et al. 1981Crosby KE, Aung LH and Buss GR. 1981. Influence of 6-Benzylaminopurine on fruit-set and seed development in two soybean, Glycine max (L.) Merr. genotypes. Plant Physiol 68: 985-988.). Increased seed dry weight due to BA + GA4 +7 application supports the hypothesis that gibberellins and cytokinins could play an important role on improving seed yield.

The lack of a branching response to PGR ap plications could be related to factors such as plant age, PGR concentrations, and the number of PGR applications. Effects on branching, plant height and number of inflorescences per plant have been shown to vary among several herbaceous species due to single and multiple ethephon applications at 500 or 1000 mg.L-1 (Hayashi et al. 2001). Keever and Foster (1990) reported lack of branching res ponse for several woody species when treated with single applications of BA at 125 to 1000 mg.L-1. Higher BA concentrations as well as BA + GA4 +7 at 2000 to 5000 mg.L-1 promoted greater numbers of shoots in most studied species. Single BA applications to 5-month-old and 1-year-old jatropha plants have been reported to promote branching both in greenhouse and field conditions at 2700 mg.L-1 (Abdelgadir et al. 2009). In the subsequent year, Abdelgadir et al. (2010) reported increasing numbers of flowers per plant, more fruits per bunch and heavier and bigger fruits for BA applications at 675, 2025, and 2700 mg.L-1, respectively. It is likely that the concentrations used in our study were not sufficiently high to promote branching and increased fruit production in 2-year-old jatropha plants, when applied as a single foliar treatment under South Florida environmental conditions. It is possible that repeated PGR applications might have resulted in more branching effects, as reported by Preece (1990)Preece JE. 1990. Growth stimulation of Euphorbia lathyris L. by GA4+7 and BA. J Plant Growth Regul 9: 85-88. and Mackay et al. (2007).

The method of PGR application might also have affected the results of this study. BA applied directly to forming inflorescences was effective in inducing development of bisexual flowers, increasing the number of female flowers per inflorescence, and increasing seed yield (Pan and Xu 2010Pan B and Xu Z. 2010. Benzyladenine treatment significantly increases the seed yield of the biofuel plant Jatropha curcas. J Plant Growth Regul 30: 166-174.). PGR applied directly to forming inflorescences could have affected flower formation differently than PGR foliar application did.

The low response to PGR treatments could also be related to the genotype effect, i.e., an accession with plants in both pre-leaf and leaf stage at the time of PGR applications. Such genotype effect is probably responsible for the lack of significant treatment responses of most variables, although some trends were observed.

Due to the large variance observed within control plants, which could be greater than treat ment effects, we decided to estimate sample sizes for specific variables using 16 control plants. Sam ple size estimate was calculated in order to access the projected sample size required to detect a 5 or 10% difference at P = 0.05. The sample size esti mate was calculated as

where n is the required sample size, Zα is the value of the standardized normal variate corresponding to α, vs is the sampling variance, is the sample mean value, and d is the margin of error expressed as a fraction of the plot mean (Gomez and Gomez 1984Gomez KA and Gomez AA. 1984. Statistical Procedures for Agricultural Research, 2nd ed., New York: J Wiley & Sons, USA, 680 p.).

Adequate sample sizes are important to increase the probability of detecting statistically significant differences among treatment means. However, in horticultural experiments, field plots usually consist of limited number of plants. Sample size in this study was limited due to a limited number of plants in the field. In situations like this, inherent variability becomes an important factor to be considered (Batchelor and Reed 1918Batchelor LD and Reed HS. 1918. Relation of the variability of yields of fruit trees to the accuracy of field trials. J Agr Res 12: 245-283.). As a consequence of genotypic variability within plants in this experiment, our results showed that the predicted sample sizes required for all variables evaluated, needed to be larger than those used in this study (Table IV).

TABLE IV
- Variability and sample size estimates for Jatropha curcas L. accessions from India grown at the Tropical Research and Education Center (TREC) in Homestead, FL. Sample size estimation used a 5% and 10% detectable difference at P = 0.05. Values are mean, variance and sample size estimates, respectively, for 16 plants sprayed with water (control).

As jatropha is a wild plant there is great variability within individuals. Although variability within jatropha plants has been reported in several studies (Mohapatra and Panda 2010, Das et al. 2010, Rao et al. 2008Rao GR, Korwar GR, Shanker AK and Ramakrishna YS. 2008. Genetic associations, variability and diversity in seed characters, growth, reproductive phenology and yield in Jatropha curcas (L.) accessions. Trees-Struct Funct 22: 697-709.), there are no reports in literature about the extent in which sample size is affected by plant variability. This study consists on the first attempt to assess sample size in jatropha, based in plant inherent variability for plant growth, yield and yield components. Therefore, although sample sizes in the present study were probably too small to detect statistically significant differences, data collected provided useful information for future studies of PGR application effects on jatropha growth and development. In plant populations with very large inherent variability, the number of samples required to detect significant treatment differences are often too great to be practical.

However, the number of samples required can be greatly reduced if the experiment is repeated over a number of years, and a yearly component is added to the statistical design and analysis (Schaffer and Baranowski 1986Schaffer B and Baranowski RM. 1986. Sample size estimates for avocado yield experiments. J Amer Soc Hort Sci 111: 985-987.). Thus, we suggest that further experiments consider multiple year trials using a greater number of repetitions for field studies performed with jatropha plants originated from seeds. It is possible that a greater number of repetitions per treatment would have found a response to the ethephon and BA + GA4 +7 treatments on jatropha branching, flowering, and fruiting parameters.

CONCLUSIONS

This study represents the first assessment of the effects of ethephon and BA + GA4 +7 applications on branching in jatropha and provides invaluable information on sample size requirements on which to base future studies of the effects of foliar PGR applications on jatropha.

Ethephon and BA + GA4 +7 at the concentra tions tested appeared to have a greater effect on flower and seed production than in branching stimulation. However, treatment effects may have been affected by dilution of PGR concentration and by genotype variability.

Further studies are necessary to clarify the responses of ethephon and BA + GA4 +7 applications in jatropha. Clonal material should be used to avoid the potential genetic variability. Single and multiple foliar applications, as well as higher product concentrations should also be considered. Product applications to forming inflorescences under South Florida conditions should also be included in future studies.

ACKNOWLEDGMENTS

We would like to thank Dr. James Colee of the University of Florida Statistics Department and M.Sc. Raoni Rosa Rodrigues for their helpful guidance with the statistical analyses. We would also like to thank Alba Myers and Maria Salinas for their technical assistance, and Regina Rieckenberg of Valent Biosciences CorporationTM for providing Promalin(r) samples for this study. The authors thank the Florida Department of Agriculture and Consumer Services through the Farm to Fuel Grants Program, Vecenergy-The Vecellio Group, and the University of Florida for providing funding and support for this study.

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Publication Dates

  • Publication in this collection
    31 May 2016
  • Date of issue
    Apr-Jun 2016

History

  • Received
    24 Nov 2014
  • Accepted
    13 May 2015
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