International Journal of Agronomy

International Journal of Agronomy / 2017 / Article

Research Article | Open Access

Volume 2017 |Article ID 8216390 | 6 pages | https://doi.org/10.1155/2017/8216390

Characteristics Defining Broccoli Cultivars from Different Seed Producers

Academic Editor: Chandrakanth Emani
Received06 Mar 2017
Accepted24 Jul 2017
Published28 Aug 2017

Abstract

Broccoli (Brassica oleracea L. var. italica) is currently considered a main vegetable food in the markets due to its high nutritional value, containing elevated levels of phytochemicals widely described to have beneficial effects against cancer and other illnesses. Broccoli is an interesting crop with a high commercial value because it complements the tomato industry, the main agricultural income in Badajoz, Spain. Nine varieties of broccoli from four nurseries were evaluated by analyzing both agronomic and quality parameters. Total yield and number of harvests were monitored. Parameters defining quality like diameter, weight, and height of the heads were determined. Granulometry, compactness, and the presence of internal leaves in the heads were also analyzed. Diameter and height of sprouts were complementarily estimated. Principal component analysis was further employed to investigate the relationship between the agronomic variables and the cultivars and nurseries. Results revealed that both first and second principal components explained more than 75% of the variance and grouped data according their cultivar and commercial origin. Additionally, correlations between the scores of those components and the values of the phenotypic parameters suggested that head weights are main determinants of the phenotypic differences observed among the cultivars whereas the presence of internal leaves and granulometry and head weight appear to be key traits defining nurseries.

1. Introduction

In the last years, agricultural income has considerably declined; therefore producers are searching for new or alternative crops. Spanish consumers are becoming more aware of nutritional value of broccoli and other vegetables. Broccoli has been labeled as the highest nutritional value vegetable, due to its composition of some phytochemical compounds, such as glucosinolates and isothiocyanates, with potential effects on preventing several cancer types and other illnesses [1, 2]. Broccoli is an abundant source of nutrients, including provitamin A (β-carotene), vitamin C (ascorbate), and vitamin E (tocopherol) [3]. Consumers are becoming more aware of the nutritional value of broccoli and other vegetables [4]. For this reason, the demand of broccoli has recently increased.

Nowadays it is becoming easier to buy processed vegetables, especially broccoli as an ingredient, ready to be used in the market, that meet the consumers’ demand for healthy but fast food. Particularly, broccoli grown in Badajoz is usually processed in freezer industries, but also for fresh market, so the main quality characteristics of the production are different considering the broccoli’s final use.

The traditional crop in the Vegas Bajas of the Guadiana River (Badajoz, Spain) is the processed tomato, grown from April to August. Broccoli originally was a cool-season crop that should be considered to have commercial potential as complementary crop cultivated in fall-winter. Over the last years in Extremadura (Spain), the broccoli cultivated area has increased. In 2013 the cultivated area reached 1747 hectares, with a total production of 21617 tons of broccoli heads. Hence, broccoli has become the second most important vegetable grown in Extremadura, after processed tomato [5].

A few varieties of broccoli are used in this area and the increasing interest of farmers in this crop makes an agronomic evaluation of a relatively large number of varieties necessary. In this sense, cultivar selection is difficult because very little specific information about the plant material is available. Crop varieties in 1950 had been bred to be adapted to specific regions and a relatively low input agriculture system. However, contemporary cultivars are selected for yield, disease resistance, broad adaptation to high input agriculture systems, and increased “shipability” and self-life [2]. Broccoli yield and head quality attributes should be considered in selecting a broccoli cultivar for a commercial production in a certain area. The parameters used to evaluate the head quality are size, shape, density color, bead size, and the attributes of stem like diameter, shape, and incidence of hollow stem. Yield and quality characteristics were determined by genotype and environmental interaction but were not affected by photoperiod. Quality attributes depend more on the genotype than the environment [6], so the former is important in determining the level of nutrients in a crop cultivar [7].

Currently, broccoli seeds for sprout production have been obtained from different sources [8]. Broccoli hybrids have been produced by crossing two pure inbred lines, each self-incompatible, but cross-compatible with another one [9]. Thus, seeds from a particular supplier are produced by crossing their own inbred lines and therefore different varieties should have similar phenotypic characteristics.

The aim of this study was to describe the yield and quality of nine cultivars of broccoli to find the most suitable cultivar to be grown on the “Vegas Bajas” of the Guadiana River. In addition, using cluster analysis we have studied the qualitative attributes of different varieties provided by several suppliers.

2. Materials and Methods

This trial was conducted in 2009 at the experimental fields of Centro Tecnológico Nacional Agroalimentario of Extremadura, Badajoz, Spain. The alluvial soil has a sandy-loam texture, is slightly acidic, and has a low organic material content. The broccoli seeds were supplied for free by international seeds companies, as indicated in Table 1. These cultivars are hybrid, produced by crossing two inbred lines, each self-incompatible but cross-compatible with one another [9].


CultivarNurseryTotal yield kg/haDays to first harvestDays to 90% yield1Harvests2Harvest >10%3

CHRONOSSakata9092 ab463.0 a77 a8.0 d3.0 a
NAXOSSakata11545 b67.0 b82 b7.0 bc4.3 ab
PHAROSSakata8807 ab76.0 ef98 d6.0 a5.0 bcd
GUEVARAIntersemillas7228 ab71.0 c86 c6.0 a4.7 bc
ISI 14775 F1Diamond Seeds8924 ab72.0 cd90 c6.7 ab4.33 ab
ISI 14507 F1Diamond Seeds8563 ab71.0 c88 c7.0 bc5.0 bcd
CODE M RZRijk Zwaan6985 ab75.0 de96.7 d7.7 cd6.3 e
CODE F RZRijk Zwaan6348 a78.3 f98 d6.7 ab4.6 bc
CODE A RZRijk Zwaan7016 ab74.0 cd95.3 d7.0 bc6.0 cd

to achieve 90% of total yield; 2number of total harvests; 3number of harvests > 10% of total yield; 4in column, values followed by different letters are significantly different at 0.05.

The broccoli cultivars were seeded in 294-cell trays (3.75 × 5.75 × 5 cm) on 2009 August 4. Seedlings were grown in greenhouse until the 2–4 leaf stage, under temperature and humidity controlled conditions. Four-week-old broccoli seedlings were transplanted into the field using a mechanical transplanter (Fialho, Tex Driver) on September 4. Plots consisted of four 20–m–long rows of broccoli, spaced 0.75 m apart, with 0.38 m between plants within a row, resulting in a plan density of approximately 35000 plants ha−1 [10]. The experimental plots were arranged in a randomized complete-block designed with three replications.

The previous crop was processed tomato, established and grown in the spring and early summer. After the tomato harvest the site was disced and rotavated before being transplanted. The soil was fertilized with 140 kg N ha−1, 75 kg P ha−1, and 75 kg K ha−1 [11], by applying 500 kg ha−1 of 8-15-15 fertilizer before being transplanted using a calibrated fertilizer spreader, and 370.5 kg ha−1 of ammonium nitrate (27%) as the plants are 20 days old after transplanting. All fertilizers were incorporated with a cultivator.

Irrigation was scheduled to deliver a total of 50 mm water (including rainfall) each week, based on soil characteristics and local weather conditions. Overhead irrigation was applied, by sprinklers. Weekly water requirements were split over two or three applications per week. Total monthly precipitation and average temperature, along with other meteorological variables, were measured by a weather station belonging to Junta Extremadura weather stations network, and located in the area. The data are available daily in its web page. The mean daily air temperature ranged from 20.5°C in September to 7.9°C in December. Total precipitation was 65.2 mm during the crop.

Growing conditions were excellent to maintain good crop health throughout the broccoli crop; therefore disease and pest control were not necessary. However, mechanical weed control was performed at the first stage of the crop.

The broccoli harvest began when the head reached a diameter of about 0.15 m [12], which is considered desirable for the commercial requirements in the area. The heads were harvested manually every 3 or 4 days until all heads were removed, totaling a maximum of 10 harvests.

The following head broccoli quality attributes were analyzed: weight, height, diameter, bead size, compactness, and presence of internal leaves in heads by measurement of 10 heads in each plot and harvest. The total yield was calculated by weighing the total harvested heads. The total weight of heads harvested is an appropriate yield measure for processing broccoli, which is sold by weight. However, fresh market broccoli is sold by the case and the corresponding goal is to maximize the number of marketable heads and bunches rather than the total weight [13].

Bead size was estimated by a visual three-point scale: fine, medium, and thick, the fine bead size being the most appreciated commercially. Numerical values from 1 to 3 were assigned to each point [5]. By a similar method we estimate the head compactness by assigning values from 1 to 3, with 1 being the most compact, and for the presence or absence of internal leaves we used the values 1 and 2, respectively. Density, the weight/volume ratio, was calculated using the formula weight (kg) × 238.77/(diameter (cm)/2)3 [14].

Statistical analyses were performed with SPSS 13.0 (Chicago, Illinois, USA). Within-cultivar comparison of means was performed with one-way ANOVA and Tukey’s test. Differences of means with were considered to be significant. Principal component analysis was performed on selected variables (Table 6). Component scores and loadings were calculated after unit variance scaling of the variables. When needed, data transformation was performed prior to analyses in order to achieve normality.

3. Results and Discussion

Total yields differed between cultivars (Table 1). Total yields range between 11.545 kg ha−1 (NAXOS) and 6.348 kg ha−1 (CODE F RZ), which, respectively, showed the highest and the lowest values. Moreover, these yields were significantly different from those estimated for the other seven cultivars.

In general, yield values were comparable to those found in the literature according to the high interannual variability reported [5, 15]. In addition, the temperatures during the growth period and the time of planting have been demonstrated to affect the quality and development of heads [16]. Our experiments were conducted with seedlings of the same age and at the same time, so these variables do not interfere in this study. Bakker et al. (2009) found that the total fresh weight yield of marketable heads differed with the year but also with the cultivar [13].

The first harvest takes place when heads have reached a diameter greater than 0.15 m. Therefore, the number of days to the first harvest is determined by the earliness of the variety. The earliest cultivar was CHRONOS, needing 63 days from planting to first harvest and the less precocious was CODE F RZ, with 78.3 days (Table 1).

The planting density (35,000 plants ha−1) is an intermediate value which produces the greatest amount of large head/ha and average values of total yield, head diameter, and weight similar to those obtained in other cultivars of broccoli [17].

We have also calculated the number of days required to reach 90% of total production. The number of days to first harvest and the numbers of days to reach 90% of total yield were linearly correlated (; = 0.951). This observation suggests that the more precocious cultivar was the first to finish production.

Because harvest is manually performed, a main factor to be considered is the number of harvests, given that a less number of harvests results in reducing costs. Thus, the number of harvests necessary to collect all the plants and the number of harvests represented in excess of 10% of the total production have been estimated.

These parameters were uncorrelated, certain cultivars showing numerous harvests accompanied with small productions that did not exceed 10% of total yield. This is especially important when the variety CHRONOS was considered, which showed eight harvests of which only 3 were over 10% of the total production. This effect was also observed in NAXOS. It seems that these varieties have a higher collection costs, which would discourage its selecting; however these cultivars have the highest total output of all varieties studied (Table 2).


Days (harvests)163 (1)67 (2)70 (3)74 (4)77 (5)81 (6)84 (7)88 (8)91 (9)98 (10)

CHRONOS5433733628075288190285888896909290929092
NAXOS07532260551269791048811050115451154511545
PHAROS000039518143022475658998807
GUEVARA004041686329552915862722872287228
ISI 14775 F10057731205844755723724189248924
ISI 14507 F1002501743350553856456830785638563
CODE M RZ003125089321442834436451406985
CODE F RZ0001022849752024340046346348
CODE A RZ00010889031194637570062407016

after transplanting. In brackets, number of harvests. numbers indicate that 90% of the total yield has been reached.

Agronomic traits, including head diameter, weight, and height affect quality directly. Table 3 shows these parameters together with ratios diameter/height and weight/diameter, as measurements of the head shape. High diameter/height and weight/diameter ratios indicated more suitable properties for the industry, showing a shorter stem, which is not profitable in the industry. Head diameter ranges between 0.166 and 0.167 m (CODE F RZ and CHRONOS) and 0.185 m (NAXOS and ISI14775 F1) and significant differences have been found between cultivars. The same varieties also presented the minor and major heights. The short head (CODE F RZ) had a length of 0.107 m; the longest NAXOS was with a length of 0.125 m. Regarding weight, ISI14775 F1 and F1 ISI14507 showed the heavier heads with 551 and 549 g. The heads of CODE F RZ and CODE A RZ presented the least weight with 416 and 423 g, respectively. The head weight registered was higher than those reported by Stamatiadis et al. (1999) [18]. These values showed that differences between the different cultivars are by 11, 17, and 32% in diameter, height, and weight head, respectively. These attributes can be important if the production is targeted to fresh market, as excessive head diameter and enlarged stems affect quality [19, 20]. For fresh vegetables, the appearance (e.g., color, size, and shape) of the product influences consumer purchasing decisions [21]. Therefore, the visual quality of the heads is crucial for both fresh market and processing broccoli [13].


CultivarsDiameter (m)Height (m)Weight (g)Diameter/heightWeight/diameter

CHRONOS0.167 ab10.118 de448 ab1.43 a26682 bc
NAXOS0.185 d0.125 ef510 cd1.48 ab27651 cd
PHAROS0.176 cd0.115 bcd521 cd1.55 bcd29278 de
GUEVARA0.174 ab0.115 cd513 cd1.52 ab29597 de
ISI 14775 F10.185 d0.115 ab551 d1.71 e30356 e
ISI 14507 F10.176 abc0.115 bcd549 d1.54 bcd31279 e
CODE M RZ0.177 bcd0.110 abc485 bc1.61 d27617 cd
CODE F RZ0.166 a0.107 a416 a1.58cd24994 ab
CODE A RZ0.177 cd0.106 a423 a1.71e23512 ab

column, values followed by different letters are significantly different at 0.05.

Other quality parameters of heads were shown in Table 4. Statistical analysis discriminates the different varieties in three subsets regarding bead size. The most suitable cultivars showed values below 1.54 (ISI14775 F1, ISI14507 GUEVARA, PHAROS, and NAXOS). CODE M RZ and CHRONOS showed acceptable values, but CODE F RZ and CODE A RZ do not have proper bead size. The bead size calculated is an average of the successive harvests. Increased bead sizes through time were observed in some cultivars. With regard to compactness, on a scale of 1–3, the heads showed intermediate values of compactness from 1.11 (GUEVARA) to 1.68 (CHRONOS) as an average of all harvests. These values are acceptable to the marketing of cultivars. However dramatic changes in density values were recorded in the several harvests of some cultivars. In this context, further studies are needed to analyze both bead size and density head throughout the productive period.


CultivarGranulometryCompactnessDensityInternal leaves

CHRONOS2.11 b11.61 de0.189 ab1.54 a
NAXOS1.54 a1.68 de0.161 ab1.50 a
PHAROS1.48 a1.42 bcd0.183 ab1.93 cd
GUEVARA1.34 a1.11 a0.196 ab1.88 bcd
ISI 14775 F11.31 a1.30 abc0.216 b1.81 bc
ISI 14507 F11.49 a1.18 ab0.202 ab1.72 b
CODE M RZ1.89 b1.51 cde0.178 ab1.90 cd
CODE F RZ2.72 c1.47 cde0.177 ab1.89 cd
CODE A RZ2.44 c1.46 cde0.144 a1.98 d

column, values followed by different letters are significantly different at 0.05.

The shape of the sprout was also analyzed. The results in Table 5 indicate that diameter average shows significant differences between several cultivars, ranging from 0.055 m (CODE F RZ) to 0.071 m (NAXOS). Height also presented significant differences between cultivars. While NAXOS showed the longer sprouts, CODE F RZ presented the shorter ones. When diameter/height ratio was close to the unit it indicated that sprouts are spherical rather than elongated, which is a positive factor from the commercial standpoint. Statistical differences found between cultivars are shown in Table 5.


CultivarDiameter (m)Height (m)Diameter/height

CHRONOS0.061 abc0.060 c0.961 a
NAXOS0.071 d0.071 d1.004 ab
PHAROS0.059 abc0.056 ab1.043 bcd
GUEVARA0.066 c0.058 ab1.130 e
ISI 14775 F10.065 bc0.057 ab1.134 e
ISI 14507 F10.061 abc0.057 ab1.087 cde
CODE M RZ0.059 ab0.055 a1.099 de
CODE F RZ0.059 a0.057 ab1.026 abc
CODE A RZ0.058 a0.059 b0.990 ab

In column, values followed by different letters are significantly different ().

VariablesNurseriesCultivars
FirstSecondFirstSecond

Days after transplanting0.89
Diameter (cm)0.520.23
Height (cm)0.14
Granulometry0.29
Head weight (g)0.27
Compactness0.430.53
Sprout diameter (cm)0.580.78
Sprout height (cm)0.23
Internal leaves0.00

significant at 0.05.

Principal component analysis was employed to analyze the relationship among the agronomic variables and the cultivars/commercial nurseries. Both first and second principal component explained more than 75% of the variance and grouped data according to their cultivar and commercial origin (Figures 1 and 2). Individual correlations between the scores for the first and second components and the phenotypic variables above described, which characterize cultivars and nurseries, rented the values presented in Table 6. Regarding cultivars, the highest correlations were obtained between the scores for the first component and head weight, and for second component and head height ( = 0.98 and 0.93 , resp.). When the correlation was performed between the scores for the first component and the phenotypic variable corresponding to the considered nurseries, the highest value was found with the presence of internal leaves ( = 0.99, ). When correlated against the scores obtained for the second component, the highest values were found for granulometry and head weight.

4. Conclusions

Taken together, those results suggest that head weight and head height are the variables more responsible for the phenotypic differences found among the considered cultivars. The presence of internal leaves and granulometry and head weight also appear to be key traits defining each nursery. Additionally, multivariate analysis revealed that those cultivars from the same nursery share main common traits and, therefore, commercial origin is suggested to be strongly considered when breeding programs are designed.

Conflicts of Interest

The authors declare that there are no conflicts of interest regarding the publication of this paper.

Acknowledgments

This work was equally supported by CTAEX and Junta de Extremadura Grupos de Investigación GR15112, AGROS, GR15158, and FEDER funds. The authors thank Alberto Salguero Alarcón for reviewing the manuscript in English.

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Copyright © 2017 Elena Ordiales et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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