Genetic modification, a process used to change an organism's genes and hence its characteristics, is now being used to improve trees. Through genetic modification, it is possible to create trees that produce more fruit, grow faster, or withstand adverse conditions. Planting genetically modified trees on a large scale promises to bring a number of benefits.
First, genetically modified trees are designed to be hardier than natural trees; that is, they are more likely to survive than their unmodified counterparts. In Hawaii, for example, a new pest-resistant species of papaya tree has been developed in response to ringspot virus infestations that have repeatedly damaged the native papaya-tree population. Planting the genetically modified papayas has largely put an end to the ringspot problem.
Moreover, genetically modified trees promise to bring a number of economic benefits to those who grow them. Genetically modified trees tend to grow faster, give greater yields—of wood, fruit, or other products—and be hardier. This allows tree farmers to get faster and greater returns on their farming investment and save on pesticides as well.
Finally, the use of genetically modified trees can prevent overexploitation of wild trees. Because of the growing demand for firewood or building timber, many forests around the world are being cut down faster than they can be replaced. Introducing genetically modified trees—designed for fast growth and high yield in given geographic conditions—would satisfy the demand for wood in many of those areas and save the endangered native trees, which often include unique or rare species.
The author of the reading passage and the professor both discuss if genetic trees can bring a number of benefits. The author mentions that genetic trees are possible to create trees that produce more fruit, grow faster, or withstand adverse conditions. However, the professor discords with the ideas mentioned in the reading passage. He offers several reasons to oppose the argument of this article.
First of all, although in the article the author claims that genetic trees are more likely to survive than their unmodified counterparts, the professor indicates that genetic trees will be wiped out in extremely threatening weather conditions because all of them have the same gene, and genetic will not accommodate to different types of weather well. In addition, if there are lots of different types of trees growing in the forest, there will be some types of trees surviving in extremely threatening weather conditions. Therefore, the professor actually believes that genetic modification is not necessarily sure for the survival of trees.
Second, even though the author states that genetic trees can bring a number of economic benefits to those who grow them, the professor mentions that normal people will pay a lot of money to the companies growing genetic trees because genetic trees will need lots of budgets to cultivate. Thus, the professor can conclude that genetic trees will not bring economic benefits.
Finally, while the author of the article indicates genetic trees can prevent overexploitation of wild trees, the professor points out that genetic trees are aggressive to other tree species because genetic trees will compete for limited resources, like sunlight or water, with other trees. As a result, the professor contends that genetic trees will not decrease the overexploitation of wild trees.
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Transition Words or Phrases used:
actually, finally, first, however, if, second, so, therefore, thus, well, while, in addition, as a result, first of all
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 7.0 10.4613686534 67% => OK
Auxiliary verbs: 13.0 5.04856512141 257% => Less auxiliary verb wanted.
Conjunction : 4.0 7.30242825607 55% => More conjunction wanted.
Relative clauses : 11.0 12.0772626932 91% => OK
Pronoun: 16.0 22.412803532 71% => OK
Preposition: 35.0 30.3222958057 115% => OK
Nominalization: 5.0 5.01324503311 100% => OK
Performance on vocabulary words:
No of characters: 1542.0 1373.03311258 112% => OK
No of words: 288.0 270.72406181 106% => OK
Chars per words: 5.35416666667 5.08290768461 105% => OK
Fourth root words length: 4.11953428781 4.04702891845 102% => OK
Word Length SD: 2.66217793508 2.5805825403 103% => OK
Unique words: 136.0 145.348785872 94% => More unique words wanted.
Unique words percentage: 0.472222222222 0.540411800872 87% => More unique words wanted or less content wanted.
syllable_count: 474.3 419.366225166 113% => OK
avg_syllables_per_word: 1.6 1.55342163355 103% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 1.0 3.25607064018 31% => OK
Article: 9.0 8.23620309051 109% => OK
Subordination: 5.0 1.25165562914 399% => Less adverbial clause wanted.
Conjunction: 2.0 1.51434878587 132% => OK
Preposition: 3.0 2.5761589404 116% => OK
Performance on sentences:
How many sentences: 11.0 13.0662251656 84% => Need more sentences. Double check the format of sentences, make sure there is a space between two sentences, or have enough periods. And also check the lengths of sentences, maybe they are too long.
Sentence length: 26.0 21.2450331126 122% => The Avg. Sentence Length is relatively long.
Sentence length SD: 94.0478162189 49.2860985944 191% => OK
Chars per sentence: 140.181818182 110.228320801 127% => OK
Words per sentence: 26.1818181818 21.698381199 121% => OK
Discourse Markers: 10.8181818182 7.06452816374 153% => OK
Paragraphs: 4.0 4.09492273731 98% => OK
Language errors: 0.0 4.19205298013 0% => OK
Sentences with positive sentiment : 3.0 4.33554083885 69% => OK
Sentences with negative sentiment : 6.0 4.45695364238 135% => OK
Sentences with neutral sentiment: 2.0 4.27373068433 47% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.303213863442 0.272083759551 111% => OK
Sentence topic coherence: 0.140323088726 0.0996497079465 141% => OK
Sentence topic coherence SD: 0.111744712939 0.0662205650399 169% => OK
Paragraph topic coherence: 0.207391650173 0.162205337803 128% => OK
Paragraph topic coherence SD: 0.0284446519026 0.0443174109184 64% => OK
Essay readability:
automated_readability_index: 16.9 13.3589403974 127% => OK
flesch_reading_ease: 45.09 53.8541721854 84% => OK
smog_index: 8.8 5.55761589404 158% => OK
flesch_kincaid_grade: 13.4 11.0289183223 121% => OK
coleman_liau_index: 14.05 12.2367328918 115% => OK
dale_chall_readability_score: 8.43 8.42419426049 100% => OK
difficult_words: 64.0 63.6247240618 101% => OK
linsear_write_formula: 10.5 10.7273730684 98% => OK
gunning_fog: 12.4 10.498013245 118% => OK
text_standard: 11.0 11.2008830022 98% => OK
What are above readability scores?
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Rates: 73.3333333333 out of 100
Scores by essay e-grader: 22.0 Out of 30
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Note: the e-grader does NOT examine the meaning of words and ideas. VIP users will receive further evaluations by advanced module of e-grader and human graders.